PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Elizabeth Comino Centre fo Primary Health Care and Equity 12-Aug-2015

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Elizabeth Comino Centre fo Primary Health Care and Equity 12-Aug-2015"

Transcription

1 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form ( and are provided with free text boxes to elaborate on their assessment. These free text comments are reproduced below. ARTICLE DETAILS TITLE (PROVISIONAL) AUTHORS Predicting admissions and time spent in hospital over a decade in a population based record linkage study: the EPIC-Norfolk cohort Luben, Robert; Hayat, Shabina; Wareham, Nicholas; Khaw, Kay-Tee VERSION 1 - REVIEW REVIEWER REVIEW RETURNED Elizabeth Comino Centre fo Primary Health Care and Equity 12-Aug-2015 GENERAL COMMENTS This study describes risk factors for hospital admission over 10 years for a community base cohort. A simple algorithm is used to calculate risk of admission. This is a well prepared paper. This reviewer has a few questions of a minor nature. Introduction, line5: did the authors mean risk of disease or risk of admission? Methods Study design did the different time periods for recruitment (1993-8) and hospital data ( ) affect the prevalence of demographic and lifestyle variables? Outcome measures are hospitalisation, number of days in hospital, and number of hospitalisations. Transfers and immediate readmissions were identified and included as a single admission. Were outpatient visits excluded from the study? Page 6, line 4: could the authors provide a bit more explanation of one plus presumably discharge minus admission date = zero if same day admission and discharge and plus one means the duration is counted as one. Statistical analysis, line 22: were demographic and lifestyle factors taken at baseline? Line31: NR is for Norfolk? This may need explaining for non-uk resident. The results are useful and of value to readers. The risk score based on commonly collected measures seems to have merit. Discussion: it would be useful for some comment on the implications of these findings for health care providers and planners. REVIEWER REVIEW RETURNED Francesca Ieva Università degli Studi di Milano, Milano (Italy) 29-Sep-2015 GENERAL COMMENTS Please consider the comments I provide in the report below. I suggest a maior revision, focused on exploiting and refining the statistical methods adopted.

2 The paper aims at estimating the absolute rates of hospital use (in terms of number of accesses and days spent in hospital) in a general community (Norfolk cohort) based on a 10 years perspective study. The idea of using administrative datasets, linking available information across the National health systems is crucial. In fact, this kind of studies may be inserted within the trend observed nowadays in many developed countries with advanced healthcare systems. In fact, the use of administrative data for clinical purposes and for optimizing the healthcare management is more and more common and accepted also in clinical practice. From a medical and statistical perspective, the topic is extremely of interest and perfectly suitable for BMJopen, but in my opinion the paper is far from being ready for publication. Therefore I suggest that a major revision should be undertaken by the author. My maior concerns regard the following issues: The paper lacks in explaining and exploiting the statistical methods adopted for getting results. In particular, since no innovation is proposed in the methods, I expect the authors address at least the following issues: (number of admission, days spent in hospital, mortality), but they are likely to be strongly correlated. Did the author verified that? Did they accounted for that? hospitalizations or days spent in hospital, but these variables rise as continuous (discrete) variables. Instead of several different logistic regression, I would expect a Poisson regression on the entire outcome. The authors, if decide not to pursue this way, should at least discuss the reasons for that. score is useful for. Do the authors use it for prediction? If yes, which are the main conclusions it allows for? r. At line 43, page 7, the authors claim We were able to estimate the probability of hospital admissions and total bed days over 10 year. It would be nice if some example of such computations, profiled by risks and patients characteristics, would be provided. stationary trend is evincible from Tables reported in the paper, are they claiming about any statistical evidence? I would appreciate to see the p-values of statistical tests on proportions, or simple linear regression coefficients (for example, fo the number of days spent in hospital again risk) to quantify these claims. causes of admission and did not execute any kind of survival analysis stratified for risk factors and so on. I think that such kind of analyses would be more appropriate than the ones actually proposed, in order to address the questions the authors pretend to answer. ay The differences by sex and BMI we observed were independent of social class and education. The procedure for assessing this claim should be made explicit. Analysis stratified by risk would be better.

3 conclude. No evidence for trend appears, ad no test are carried out neither. Moreover, I would report percentage and not absolute values of counting. Minor points: descriptive data? -27: please rephrase. : which is the sense of reporting the second ad first row, respectively? Please avoid. Male sex. Did the authors choose this for maintaining the OR positive? If so, I think it would be easier to maintain the same reference class in all the cases. VERSION 1 AUTHOR RESPONSE Reviewer: 1 Reviewer Name: Elizabeth Comino Institution and Country: Centre for Primary Health Care and Equity Please state any competing interests or state 'None declared': no competing interests Please leave your comments for the authors below This study describes risk factors for hospital admission over 10 years for a community base cohort. A simple algorithm is used to calculate risk of admission. This is a well prepared paper. This reviewer has a few questions of a minor nature. Introduction, line5: did the authors mean 'risk of disease' or 'risk of admission'? Response: We agree with the reviewer's comment and have changed the wording in the manuscript to say 'risk of admission' Methods Study design - did the different time periods for recruitment (1993-8) and hospital data ( ) affect the prevalence of demographic and lifestyle variables? Response: The study design is similar in most ways to a standard prospective analysis with demographic and lifestyle variables measured at baseline used to identify groups at high risk. Outcome measures are hospitalisation, number of days in hospital, and number of hospitalisations. Transfers and immediate re-admissions were identified and included as a single admission. Were outpatient visits excluded from the study? Response: Outpatient visits although available to us were not considered in this analysis. While the number of outpatient visits was large, they were more heterogeneous in nature. We chose to focus on those needing admission to hospital since this was more likely to capture people with the most serious conditions. Page 6, line 4: could the authors provide a bit more explanation of 'one plus' - presumably discharge

4 minus admission date = zero if same day admission and discharge and 'plus one' means the duration is counted as 'one'. Response: Your interpretation is correct. If we had used the simplest formula ( discharge minus admission), those people admitted and discharged on the same day would be counted as zero and their time in hospital and number of admissions not considered. Instead our formula used one plus ( discharge minus admission). We have improved the wording in the manuscript to clarify this. Statistical analysis, line 22: were factors taken at baseline? Response: Yes, demographic and lifestyle were from baseline. We have changed the text in the statistical analysis section to include the word baseline ("defined as the sum of five baseline risk factors") Line31: NR is for Norfolk? This may need explaining for non-uk resident. Response: Thank you for this observation. You are right that a non-uk resident might not understand this abbreviation and we clarified this in the manuscript. The results are useful and of value to readers. The risk score based on commonly collected measures seems to have merit. Response: Thank you for these positive comments. Discussion: it would be useful for some comment on the implications of these findings for health care providers and planners. Response: We have added a sentence to the conclusions discussing the implications of the findings. Reviewer: 2 Reviewer Name: Francesca Ieva Institution and Country: Universit degli Studi di Milano, Milano (Italy) Please state any competing interests or state 'None declared': Non declared Please leave your comments for the authors below Please consider the comments I provide in the report attached. I suggest a maior revision, focused on exploiting and refining the statistical methods adopted. Response: The purpose of our paper was to examine basic commonly collected demographic and lifestyle factors such as those that might be recorded on a visit to a GP and their impact on hospital usage. It was not our intention to present results based on complex statistical modelling as we wanted the data to be presented in a format that was clear and transparent to the reader and as close to its original form as possible. The statistical technique we used was logistic regression which is an extremely common approach used in many epidemiological studies. While the further exploitation of statistical methods in the context of hospital usage analysis may be of interest, it is a different type of paper and not something that we wanted to focus on here. The paper aims at estimating the absolute rates of hospital use (in terms of number of accesses and days spent in hospital) in a general community (Norfolk cohort) based on a 10 years perspective study. The idea of using administrative datasets, linking available information across the National health systems is crucial. In fact, this kind of studies may be inserted within the trend observed

5 nowadays in many developed countries with advanced healthcare systems. In fact, the use of administrative data for clinical purposes and for optimizing the healthcare management is more and more common and accepted also in clinical practice. From a medical and statistical perspective, the topic is extremely of interest and perfectly suitable for BMJopen, but in my opinion the paper is far from being ready for publication. Therefore I suggest that a major revision should be undertaken by the author. My maior concerns regard the following issues: The paper lacks in explaining and exploiting the statistical methods adopted for getting results. In particular, since no innovation is proposed in the methods, I expect the authors address at least the following issues: Response: We would agree that this area is of considerable interest and suitable for publication and thank the reviewer for the positive comments made, however we disagree with the ascension that major changes are necessary along the lines suggested since this would alter the nature and focus of the work. We have clearly explained the methods used (Statistical Analyses, page 6) but it was not our intention to include innovative statistical methods to describe the data we present. We have instead shown a detailed and comprehensive description of the data in our tables and used standard commonly used statistical methods. The analysis is conducted separately on the different outcomes (number of admission, days spent in hospital, mortality), but they are likely to be strongly correlated. Did the author verified that? Did they accounted for that? Response: It is self evident that the two measures of hospital usage are strongly correlated since having many hospital admissions almost always implies spending a lot of time in hospital. We are simply looking at the most important ways of assessing hospital use which are clinically relevant. Using two different but related methods enable us to measure something broadly similar while capturing different dimensions. I can see the reason why the authors categorize the number of hospitalizations or days spent in hospital, but these variables rise as continuous (discrete) variables. Instead of several different logistic regression, I would expect a Poisson regression on the entire outcome. The authors, if decide not to pursue this way, should at least discuss the reasons for that. Response: Categorical variables are simpler to interpret for the reader. We felt that most readers would find it harder to interpret our models if we were to have used the approach suggested by the reviewer. Instead we chose to dichotomise the outcomes in Table 3 using "no hospital admissions", "seven or more hospital admissions" and " twenty or more hospital nights" and present odds ratios relative to those categories. However, we have shown the continuous relationship elsewhere (in table 2a and 2b). Page 6, line 19: it is not clear from the description what the risk score is useful for. Do the authors use it for prediction? If yes, which are the main conclusions it allows for? Response: We describe the use of the risk score in the Discussion section (Page 7, lines 11 to 27) No models are cited nor reported in the paper. At line 43, page 7, the authors claim "We were able to estimate the probability of hospital admissions and total bed days over 10 year...". It would be nice if some example of such computations, profiled by risks and patients characteristics, would be provided. Each time the authors say that an increasing or decreasing or stationary trend is evincible from

6 Tables reported in the paper, are they claiming about any statistical evidence? I would appreciate to see the p-values of statistical tests on proportions, or simple linear regression coefficients (for example, fo the number of days spent in hospital again risk) to quantify these claims. Response: We have added a column showing p-values to table 2a and table 2b and to sensitivity table 2a and 2b At line 59, page 7, the authors say they did stratified over the causes of admission and did not execute any kind of survival analysis stratified for risk factors and so on. I think that such kind of analyses would be more appropriate than the ones actually proposed, in order to address the questions the authors pretend to answer. Response: We were not entirely clear about what the reviewer meant here and somewhat concerned about the use of the phrase "the authors pretend to answer" which is not an appropriate description of our work. Survival analysis techniques such as Cox regression were not used in this paper since we did not want to censor participants who died. We are trying to assess the impact of hospital usage and do not make a distinction between non-attendance due to good health and non-attendance because of death. In this important respect, the paper differs from a standard prospective analysis. We have now clarified this point in the statistical methods section. At line 52, page 7, the authors say "The differences by sex and BMI we observed were independent of social class and education". The procedure for assessing this claim should be made explicit. Response: All covariates in the three models presented in table 3 are mutually adjusted and hence all the associations shown are independent. A footnote has been added to table 3 to explain this. Table 5 does not make much sense to me. I think that a Survival Analysis stratified by risk would be better. Response: Table 5 is explained on page 7 lines 1 to 5 and lines on page 6. Sensitivity Table 4: It is not clear to me what this Table allows to conclude. No evidence for trend appears, ad no test are carried out neither. Moreover, I would report percentage and not absolute values of counting. Response: The rationale for the sensitivity analysis is explained on page 17 lines 3 to 13. Sensitivity Table 4 is identical in form and structure to Table 4 but is restricted to a subset of EPIC-Norfolk participants who were living in the Norfolk postcode area between 1999 and Minor points: Page 6, line 16: what do the authors mean with "baseline descriptive data"? Response: We describe EPIC Norfolk baseline on Page 5 line 22 ("Study Design") Page 6, line 48: what does "independent relationship" mean? Response: This means that all covariates appear in the same model and are adjusted for one another. Page 7, lines 25-27: please rephrase.

7 Response: The wording has been altered. Tables 2a and 2b: which is the sense of reporting the second ad first row, respectively? Please avoid. Table 3: In the first block there is "Female sex", but in the ollowing "Male sex". Did the authors choose this for maintaining the OR positive? If so, I think it would be easier to maintain the same reference class in all the cases. Response: In table 3, the first block shows the positive outcome of "No hospital admissions" while the second and third blocks show negative outcomes. All the categorical measures shown in the first block (that is all variables except age) are the inverse of those shown in the subsequent two blocks. We would prefer to keep this format as we consider it more straightforward for the reader to interpret. VERSION 2 REVIEW REVIEWER REVIEW RETURNED Elizabeth Comino Centre for Primary Health Care and Equity, University of NSW, Australia 23-Nov-2015 GENERAL COMMENTS This was a resubmitted paper. the authors have addressed the issues that were previously raised by two reviewers. The only area of concern is the work on sensitivity analysis. The sensitivity analysis includes a number of tables that essentially repeat the information that is included in the main tables (a lot of work) and a brief explanation although no results and conclusion. The conclusion is mentioned on page 7, paragraph 9 and indicates that the results did not change. One queries if these add to the paper. Perhaps a comment to the effect that excluding patients with an Ipswich code did not change the results.

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Richard Franklin James Cook University, Australia 15-Jun-2015.

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Richard Franklin James Cook University, Australia 15-Jun-2015. PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Saket Girotra University of Iowa, Iowa City, IA United States 04-Aug-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Saket Girotra University of Iowa, Iowa City, IA United States 04-Aug-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Lepelletier Nantes University Hospital, Nantes, France 20-Jul-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Lepelletier Nantes University Hospital, Nantes, France 20-Jul-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Title: Proton Pump Inhibitors and the risk of pneumonia: a comparison of cohort and self-controlled case series designs

Title: Proton Pump Inhibitors and the risk of pneumonia: a comparison of cohort and self-controlled case series designs Author's response to reviews Authors: Emmae Ramsay (emmae.ramsay@adelaide.edu.au) Nicole Pratt (nicole.pratt@unisa.edu.au) Philip Ryan (philip.ryan@adelaide.edu.au) Elizabeth Roughead (libby.roughead@unisa.edu.au)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Avinesh Pillai Department of Statistics University of Auckland New Zealand 16-Jul-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Avinesh Pillai Department of Statistics University of Auckland New Zealand 16-Jul-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Nahyuha Chomi, Eunice United Kingdom 03-Jul-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Nahyuha Chomi, Eunice United Kingdom 03-Jul-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS

PEER REVIEW HISTORY ARTICLE DETAILS PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Anna Sinaiko Harvard School of Public Health United States of America 20-Dec-2013

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Anna Sinaiko Harvard School of Public Health United States of America 20-Dec-2013 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (see an example) and are provided with free text boxes to

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Fogelholm, Mikael University of Helsinki 19-Jul-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Fogelholm, Mikael University of Helsinki 19-Jul-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Carrieri, Vicenzo University of Salerno 19-Jun-2013

Carrieri, Vicenzo University of Salerno 19-Jun-2013 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (see an example) and are provided with free text boxes to

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

An Innocent Investigation

An Innocent Investigation An Innocent Investigation D. Joyce, Clark University January 2006 The beginning. Have you ever wondered why every number is either even or odd? I don t mean to ask if you ever wondered whether every number

More information

Simple Predictive Analytics Curtis Seare

Simple Predictive Analytics Curtis Seare Using Excel to Solve Business Problems: Simple Predictive Analytics Curtis Seare Copyright: Vault Analytics July 2010 Contents Section I: Background Information Why use Predictive Analytics? How to use

More information

Salary. Cumulative Frequency

Salary. Cumulative Frequency HW01 Answering the Right Question with the Right PROC Carrie Mariner, Afton-Royal Training & Consulting, Richmond, VA ABSTRACT When your boss comes to you and says "I need this report by tomorrow!" do

More information

Statistics in Retail Finance. Chapter 6: Behavioural models

Statistics in Retail Finance. Chapter 6: Behavioural models Statistics in Retail Finance 1 Overview > So far we have focussed mainly on application scorecards. In this chapter we shall look at behavioural models. We shall cover the following topics:- Behavioural

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Gordon S. Linoff Founder Data Miners, Inc. gordon@data-miners.com

Gordon S. Linoff Founder Data Miners, Inc. gordon@data-miners.com Survival Data Mining Gordon S. Linoff Founder Data Miners, Inc. gordon@data-miners.com What to Expect from this Talk Background on survival analysis from a data miner s perspective Introduction to key

More information

Evaluation of Treatment Pathways in Oncology: Modeling Approaches. Feng Pan, PhD United BioSource Corporation Bethesda, MD

Evaluation of Treatment Pathways in Oncology: Modeling Approaches. Feng Pan, PhD United BioSource Corporation Bethesda, MD Evaluation of Treatment Pathways in Oncology: Modeling Approaches Feng Pan, PhD United BioSource Corporation Bethesda, MD 1 Objectives Rationale for modeling treatment pathways Treatment pathway simulation

More information

Organizing Your Approach to a Data Analysis

Organizing Your Approach to a Data Analysis Biost/Stat 578 B: Data Analysis Emerson, September 29, 2003 Handout #1 Organizing Your Approach to a Data Analysis The general theme should be to maximize thinking about the data analysis and to minimize

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Dr Andreas Xyrichis King's College London, UK 14-Jun-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Dr Andreas Xyrichis King's College London, UK 14-Jun-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Disabled Facilities Grant Funding via Better Care Funds An Opportunity to Improve Outcomes

Disabled Facilities Grant Funding via Better Care Funds An Opportunity to Improve Outcomes Integration Briefing 1 Disabled Facilities Grant Funding via Better Care Funds An Opportunity to Improve Outcomes Purpose For whom Where To explain the changes to the provision of national government funding

More information

Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand. Problem Set 1 (with solutions)

Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand. Problem Set 1 (with solutions) Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand Problem Set 1 (with solutions) About this problem set: These are problems from Course 1/P actuarial exams that I have collected over the years,

More information

Multivariate Logistic Regression

Multivariate Logistic Regression 1 Multivariate Logistic Regression As in univariate logistic regression, let π(x) represent the probability of an event that depends on p covariates or independent variables. Then, using an inv.logit formulation

More information

Normality Testing in Excel

Normality Testing in Excel Normality Testing in Excel By Mark Harmon Copyright 2011 Mark Harmon No part of this publication may be reproduced or distributed without the express permission of the author. mark@excelmasterseries.com

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Does referral from an emergency department to an. alcohol treatment center reduce subsequent. emergency room visits in patients with alcohol

Does referral from an emergency department to an. alcohol treatment center reduce subsequent. emergency room visits in patients with alcohol Does referral from an emergency department to an alcohol treatment center reduce subsequent emergency room visits in patients with alcohol intoxication? Robert Sapien, MD Department of Emergency Medicine

More information

Provider Satisfaction Survey: Research and Best Practices

Provider Satisfaction Survey: Research and Best Practices Provider Satisfaction Survey: Research and Best Practices Provider Satisfaction Survey Revamp Provider Satisfaction with the health plan has been one of the most popular proprietary survey tools that TMG

More information

EBM Cheat Sheet- Measurements Card

EBM Cheat Sheet- Measurements Card EBM Cheat Sheet- Measurements Card Basic terms: Prevalence = Number of existing cases of disease at a point in time / Total population. Notes: Numerator includes old and new cases Prevalence is cross-sectional

More information

Linear and Logistic Regression with Data Gathering

Linear and Logistic Regression with Data Gathering Design of experiments Anna Lindgren Mathematical statistics April 5, 2016 Project 3:... with Data Gathering Come up with a situation where the variablilty of one variable might be explained by some (3+)

More information

SUMAN DUVVURU STAT 567 PROJECT REPORT

SUMAN DUVVURU STAT 567 PROJECT REPORT SUMAN DUVVURU STAT 567 PROJECT REPORT SURVIVAL ANALYSIS OF HEROIN ADDICTS Background and introduction: Current illicit drug use among teens is continuing to increase in many countries around the world.

More information

Statistics in Medicine Research Lecture Series CSMC Fall 2014

Statistics in Medicine Research Lecture Series CSMC Fall 2014 Catherine Bresee, MS Senior Biostatistician Biostatistics & Bioinformatics Research Institute Statistics in Medicine Research Lecture Series CSMC Fall 2014 Overview Review concept of statistical power

More information

Unit 12 Logistic Regression Supplementary Chapter 14 in IPS On CD (Chap 16, 5th ed.)

Unit 12 Logistic Regression Supplementary Chapter 14 in IPS On CD (Chap 16, 5th ed.) Unit 12 Logistic Regression Supplementary Chapter 14 in IPS On CD (Chap 16, 5th ed.) Logistic regression generalizes methods for 2-way tables Adds capability studying several predictors, but Limited to

More information

Package dsmodellingclient

Package dsmodellingclient Package dsmodellingclient Maintainer Author Version 4.1.0 License GPL-3 August 20, 2015 Title DataSHIELD client site functions for statistical modelling DataSHIELD

More information

Logistic Regression (1/24/13)

Logistic Regression (1/24/13) STA63/CBB540: Statistical methods in computational biology Logistic Regression (/24/3) Lecturer: Barbara Engelhardt Scribe: Dinesh Manandhar Introduction Logistic regression is model for regression used

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Tatyana A Shamliyan. I do not have COI. 30-May-2012

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Tatyana A Shamliyan. I do not have COI. 30-May-2012 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (see an example) and are provided with free text boxes to

More information

The North Carolina Health Data Explorer

The North Carolina Health Data Explorer 1 The North Carolina Health Data Explorer The Health Data Explorer provides access to health data for North Carolina counties in an interactive, user-friendly atlas of maps, tables, and charts. It allows

More information

EXPANDING THE EVIDENCE BASE IN OUTCOMES RESEARCH: USING LINKED ELECTRONIC MEDICAL RECORDS (EMR) AND CLAIMS DATA

EXPANDING THE EVIDENCE BASE IN OUTCOMES RESEARCH: USING LINKED ELECTRONIC MEDICAL RECORDS (EMR) AND CLAIMS DATA EXPANDING THE EVIDENCE BASE IN OUTCOMES RESEARCH: USING LINKED ELECTRONIC MEDICAL RECORDS (EMR) AND CLAIMS DATA A CASE STUDY EXAMINING RISK FACTORS AND COSTS OF UNCONTROLLED HYPERTENSION ISPOR 2013 WORKSHOP

More information

Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program

Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program Department of Mathematics and Statistics Degree Level Expectations, Learning Outcomes, Indicators of

More information

t Tests in Excel The Excel Statistical Master By Mark Harmon Copyright 2011 Mark Harmon

t Tests in Excel The Excel Statistical Master By Mark Harmon Copyright 2011 Mark Harmon t-tests in Excel By Mark Harmon Copyright 2011 Mark Harmon No part of this publication may be reproduced or distributed without the express permission of the author. mark@excelmasterseries.com www.excelmasterseries.com

More information

Chi Squared and Fisher's Exact Tests. Observed vs Expected Distributions

Chi Squared and Fisher's Exact Tests. Observed vs Expected Distributions BMS 617 Statistical Techniques for the Biomedical Sciences Lecture 11: Chi-Squared and Fisher's Exact Tests Chi Squared and Fisher's Exact Tests This lecture presents two similarly structured tests, Chi-squared

More information

COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES.

COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES. 277 CHAPTER VI COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES. This chapter contains a full discussion of customer loyalty comparisons between private and public insurance companies

More information

SAS and R calculations for cause specific hazard ratios in a competing risks analysis with time dependent covariates

SAS and R calculations for cause specific hazard ratios in a competing risks analysis with time dependent covariates SAS and R calculations for cause specific hazard ratios in a competing risks analysis with time dependent covariates Martin Wolkewitz, Ralf Peter Vonberg, Hajo Grundmann, Jan Beyersmann, Petra Gastmeier,

More information

Analyzing Research Data Using Excel

Analyzing Research Data Using Excel Analyzing Research Data Using Excel Fraser Health Authority, 2012 The Fraser Health Authority ( FH ) authorizes the use, reproduction and/or modification of this publication for purposes other than commercial

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (see an example) and are provided with free text boxes to

More information

Binary Diagnostic Tests Two Independent Samples

Binary Diagnostic Tests Two Independent Samples Chapter 537 Binary Diagnostic Tests Two Independent Samples Introduction An important task in diagnostic medicine is to measure the accuracy of two diagnostic tests. This can be done by comparing summary

More information

CONTENTS OF DAY 2. II. Why Random Sampling is Important 9 A myth, an urban legend, and the real reason NOTES FOR SUMMER STATISTICS INSTITUTE COURSE

CONTENTS OF DAY 2. II. Why Random Sampling is Important 9 A myth, an urban legend, and the real reason NOTES FOR SUMMER STATISTICS INSTITUTE COURSE 1 2 CONTENTS OF DAY 2 I. More Precise Definition of Simple Random Sample 3 Connection with independent random variables 3 Problems with small populations 8 II. Why Random Sampling is Important 9 A myth,

More information

Mortality Assessment Technology: A New Tool for Life Insurance Underwriting

Mortality Assessment Technology: A New Tool for Life Insurance Underwriting Mortality Assessment Technology: A New Tool for Life Insurance Underwriting Guizhou Hu, MD, PhD BioSignia, Inc, Durham, North Carolina Abstract The ability to more accurately predict chronic disease morbidity

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

We have addressed all reviewers comments as described below. We have no potential conflict of interest to report.

We have addressed all reviewers comments as described below. We have no potential conflict of interest to report. Author s response to reviews Title: A web-based data visualization tool for the MIMIC-II database Authors: Joon Lee (joon.lee@uwaterloo.ca) Evan Ribey (eeribey@uwaterloo.ca) James Wallace (james.wallace@uwaterloo.ca)

More information

By Annamaria Lusardi and Olivia S. Mitchell*

By Annamaria Lusardi and Olivia S. Mitchell* American Economic Review: Papers & Proceedings 2008, 98:2, 413 417 http://www.aeaweb.org/articles.php?doi 10.1257/aer.98.2.413 By Annamaria Lusardi and Olivia S. Mitchell* Many baby boomers are approaching

More information

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL)

PEER REVIEW HISTORY ARTICLE DETAILS TITLE (PROVISIONAL) PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

11. Analysis of Case-control Studies Logistic Regression

11. Analysis of Case-control Studies Logistic Regression Research methods II 113 11. Analysis of Case-control Studies Logistic Regression This chapter builds upon and further develops the concepts and strategies described in Ch.6 of Mother and Child Health:

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Jeffrey Sparks Brigham and Women's Hospital Harvard Medical School USA 25-Nov-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Jeffrey Sparks Brigham and Women's Hospital Harvard Medical School USA 25-Nov-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Determinants of Alcohol Abuse in a Psychiatric Population: A Two-Dimensionl Model

Determinants of Alcohol Abuse in a Psychiatric Population: A Two-Dimensionl Model Determinants of Alcohol Abuse in a Psychiatric Population: A Two-Dimensionl Model John E. Overall The University of Texas Medical School at Houston A method for multidimensional scaling of group differences

More information

Exploratory data: COPD and blood eosinophils. David Price: 9.23-9.35am

Exploratory data: COPD and blood eosinophils. David Price: 9.23-9.35am Exploratory data: COPD and blood eosinophils David Price: 9.23-9.35am Blood Eosinophilia in COPD The reliability and utility of blood eosinophils as a marker of disease burden, healthcare resource utilisation

More information

Writing the Empirical Social Science Research Paper: A Guide for the Perplexed. Josh Pasek. University of Michigan.

Writing the Empirical Social Science Research Paper: A Guide for the Perplexed. Josh Pasek. University of Michigan. Writing the Empirical Social Science Research Paper: A Guide for the Perplexed Josh Pasek University of Michigan January 24, 2012 Correspondence about this manuscript should be addressed to Josh Pasek,

More information

Chapter 7: Simple linear regression Learning Objectives

Chapter 7: Simple linear regression Learning Objectives Chapter 7: Simple linear regression Learning Objectives Reading: Section 7.1 of OpenIntro Statistics Video: Correlation vs. causation, YouTube (2:19) Video: Intro to Linear Regression, YouTube (5:18) -

More information

Main Section. Overall Aim & Objectives

Main Section. Overall Aim & Objectives Main Section Overall Aim & Objectives The goals for this initiative are as follows: 1) Develop a partnership between two existing successful initiatives: the Million Hearts Initiative at the MedStar Health

More information

Integrated Performance Report

Integrated Performance Report Integrated Performance Report Southwark Social Services and Southwark Primary Care Trust 2003/04 Provisional Indicators Integrated Performance Report: 2003/04 Provisional Indicators 1. Recommendation 1.1

More information

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Dingcheng Li Mayo Clinic, USA 20-Dec-2015

PEER REVIEW HISTORY ARTICLE DETAILS VERSION 1 - REVIEW. Dingcheng Li Mayo Clinic, USA 20-Dec-2015 PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf)

More information

Tips for surviving the analysis of survival data. Philip Twumasi-Ankrah, PhD

Tips for surviving the analysis of survival data. Philip Twumasi-Ankrah, PhD Tips for surviving the analysis of survival data Philip Twumasi-Ankrah, PhD Big picture In medical research and many other areas of research, we often confront continuous, ordinal or dichotomous outcomes

More information

FUNDAMENTALS OF HEALTHCARE FINANCE. Online Appendix B Financial Analysis Ratios

FUNDAMENTALS OF HEALTHCARE FINANCE. Online Appendix B Financial Analysis Ratios 3/27/09 FUNDAMENTALS OF HEALTHCARE FINANCE Online Appendix B Financial Analysis Ratios Introduction In Chapter 13 of Fundamentals of Healthcare Finance, we indicated that financial ratio analysis is a

More information

ENHANCED REPORTING OF DEATHS AMONG ABORIGINAL AND TORRES STRAIT ISLANDER PEOPLES USING LINKED ADMINISTRATIVE HEALTH DATASETS

ENHANCED REPORTING OF DEATHS AMONG ABORIGINAL AND TORRES STRAIT ISLANDER PEOPLES USING LINKED ADMINISTRATIVE HEALTH DATASETS ENHANCED REPORTING OF DEATHS AMONG ABORIGINAL AND TORRES STRAIT ISLANDER PEOPLES USING LINKED ADMINISTRATIVE HEALTH DATASETS BACKGROUND Improving the health of Aboriginal and Torres Strait Islander peoples

More information

THE HYPOTHALAMIC-PITUITARY-GONADAL AXIS IN MALE PSYCHIATRIC INPATIENTS

THE HYPOTHALAMIC-PITUITARY-GONADAL AXIS IN MALE PSYCHIATRIC INPATIENTS THE HYPOTHALAMIC-PITUITARY-GONADAL AXIS IN MALE PSYCHIATRIC INPATIENTS Bilyana Brdaroska A thesis submitted in accordance with the requirements for the admission to the degree of Doctor of Medicine of

More information

THESIS CHAPTER WRITING RUBRICS

THESIS CHAPTER WRITING RUBRICS MASTERS IN EDUCATION THESIS CHAPTER WRITING RUBRICS Chapter 1: Definition of Problem Objective: to define the /problem project focus. Written in present tense. Chapter 1 Novice Proficient Advance Components

More information

An Article Critique - Helmet Use and Associated Spinal Fractures in Motorcycle Crash Victims. Ashley Roberts. University of Cincinnati

An Article Critique - Helmet Use and Associated Spinal Fractures in Motorcycle Crash Victims. Ashley Roberts. University of Cincinnati Epidemiology Article Critique 1 Running head: Epidemiology Article Critique An Article Critique - Helmet Use and Associated Spinal Fractures in Motorcycle Crash Victims Ashley Roberts University of Cincinnati

More information

Measuring road crash injury severity in Western Australia using ICISS methodology

Measuring road crash injury severity in Western Australia using ICISS methodology Measuring road crash injury severity in Western Australia using ICISS methodology A Chapman Data Analyst, Data Linkage Branch, Public Health Intelligence, Public Health Division, Department of Health,

More information

GUIDELINES FOR ASKING THE NATIONAL STUDENT AND PARENT SCHOOL OPINION ITEMS

GUIDELINES FOR ASKING THE NATIONAL STUDENT AND PARENT SCHOOL OPINION ITEMS GUIDELINES FOR ASKING THE NATIONAL STUDENT AND PARENT SCHOOL OPINION ITEMS Guidelines for sampling are provided to assist schools in surveying students and parents/caregivers, using the national school

More information

Chapter 6: The Information Function 129. CHAPTER 7 Test Calibration

Chapter 6: The Information Function 129. CHAPTER 7 Test Calibration Chapter 6: The Information Function 129 CHAPTER 7 Test Calibration 130 Chapter 7: Test Calibration CHAPTER 7 Test Calibration For didactic purposes, all of the preceding chapters have assumed that the

More information

Association Between Variables

Association Between Variables Contents 11 Association Between Variables 767 11.1 Introduction............................ 767 11.1.1 Measure of Association................. 768 11.1.2 Chapter Summary.................... 769 11.2 Chi

More information

The Demand for Financial Planning Services 1

The Demand for Financial Planning Services 1 The Demand for Financial Planning Services 1 Sherman D. Hanna, Ohio State University Professor, Consumer Sciences Department Ohio State University 1787 Neil Avenue Columbus, OH 43210-1290 Phone: 614-292-4584

More information

SECOND M.B. AND SECOND VETERINARY M.B. EXAMINATIONS INTRODUCTION TO THE SCIENTIFIC BASIS OF MEDICINE EXAMINATION. Friday 14 March 2008 9.00-9.

SECOND M.B. AND SECOND VETERINARY M.B. EXAMINATIONS INTRODUCTION TO THE SCIENTIFIC BASIS OF MEDICINE EXAMINATION. Friday 14 March 2008 9.00-9. SECOND M.B. AND SECOND VETERINARY M.B. EXAMINATIONS INTRODUCTION TO THE SCIENTIFIC BASIS OF MEDICINE EXAMINATION Friday 14 March 2008 9.00-9.45 am Attempt all ten questions. For each question, choose the

More information

How Sensitive are Low Income Families to Health Plan Prices?

How Sensitive are Low Income Families to Health Plan Prices? American Economic Review: Papers & Proceedings 100 (May 2010): 292 296 http://www.aeaweb.org/articles.php?doi=10.1257/aer.100.2.292 The Massachusetts Health Insurance Experiment: Early Experiences How

More information

HEALTHCARE FINANCE: AN INTRODUCTION TO ACCOUNTING AND FINANCIAL MANAGEMENT. Online Appendix A Financial Ratios

HEALTHCARE FINANCE: AN INTRODUCTION TO ACCOUNTING AND FINANCIAL MANAGEMENT. Online Appendix A Financial Ratios HEALTHCARE FINANCE: AN INTRODUCTION TO ACCOUNTING AND FINANCIAL MANAGEMENT Online Appendix A Financial Ratios INTRODUCTION In Chapter 17, we indicated that ratio analysis is a technique commonly used to

More information

Short guide on academic writing style.

Short guide on academic writing style. Short guide on academic writing style. Audience. Not a teacher! Your reader has a background which is similar to yours before you started to work on this project. Title. Good title is usually short, straightforward

More information

HES: Deaths within 30 days of a hospital procedure or of an emergency admission to hospital - Financial year 2010-2011

HES: Deaths within 30 days of a hospital procedure or of an emergency admission to hospital - Financial year 2010-2011 HES: Deaths within 30 days of a hospital procedure or of an emergency admission to hospital - Financial year 2010-2011 Copyright 2013, The Health and Social Care Information Centre. All Rights Reserved.

More information

Annicka G. M. van der Plas. Kris C. Vissers. Anneke L. Francke. Gé A. Donker. Wim J. J. Jansen. Luc Deliens. Bregje D. Onwuteaka-Philipsen

Annicka G. M. van der Plas. Kris C. Vissers. Anneke L. Francke. Gé A. Donker. Wim J. J. Jansen. Luc Deliens. Bregje D. Onwuteaka-Philipsen CHAPTER 8. INVOLVEMENT OF A CASE MANAGER IN PALLIATIVE CARE REDUCES HOSPITALISATIONS AT THE END OF LIFE IN CANCER PATIENTS; A MORTALITY FOLLOW-BACK STUDY IN PRIMARY CARE. Annicka G. M. van der Plas Kris

More information

Cost-effectiveness of providing patients with information on managing mild low-back symptoms. A controlled trial in an occupational health setting

Cost-effectiveness of providing patients with information on managing mild low-back symptoms. A controlled trial in an occupational health setting Author s response to reviews Title: Cost-effectiveness of providing patients with information on managing mild low-back symptoms. A controlled trial in an occupational health setting Authors: Jarmo Rantonen

More information

PREDICTION OF INDIVIDUAL CELL FREQUENCIES IN THE COMBINED 2 2 TABLE UNDER NO CONFOUNDING IN STRATIFIED CASE-CONTROL STUDIES

PREDICTION OF INDIVIDUAL CELL FREQUENCIES IN THE COMBINED 2 2 TABLE UNDER NO CONFOUNDING IN STRATIFIED CASE-CONTROL STUDIES International Journal of Mathematical Sciences Vol. 10, No. 3-4, July-December 2011, pp. 411-417 Serials Publications PREDICTION OF INDIVIDUAL CELL FREQUENCIES IN THE COMBINED 2 2 TABLE UNDER NO CONFOUNDING

More information

Assessment of Risk Stratification Methods Identifying Patients for Care Coordination within a Medical Home

Assessment of Risk Stratification Methods Identifying Patients for Care Coordination within a Medical Home Assessment of Risk Stratification Methods Identifying Patients for Care Coordination within a Medical Home Lindsey R. Haas, MPH Academy Health Conference June 26 th, 2012 2012 MFMER slide-1 Team Members

More information

Running head: SAMPLE FOR STUDENTS 1. Sample APA Paper for Students Interested in Learning APA Style 6th Edition. Jeffrey H. Kahn

Running head: SAMPLE FOR STUDENTS 1. Sample APA Paper for Students Interested in Learning APA Style 6th Edition. Jeffrey H. Kahn Running head: SAMPLE FOR STUDENTS 1 Sample APA Paper for Students Interested in Learning APA Style 6th Edition Jeffrey H. Kahn Illinois State University Author Note Jeffrey H. Kahn, Department of Psychology,

More information

1990 Life Insurance and Diabetes

1990 Life Insurance and Diabetes ADS Position Statements 1990 Life Insurance and Diabetes John Carter, John Greenway, Royal Prince Alfred Hospital, Concord Hospital and Hornsby Hospital, NSW Page 1 LIFE INSURANCE AND DIABETES MELLITUS

More information

Design and principal results

Design and principal results International Task Force for Prevention Of Coronary Heart Disease Coronary heart disease and stroke: Risk factors and global risk Slide Kit 1 (Prospective Cardiovascular Münster Heart Study) Design and

More information

Big linked data projects Louisa Jorm

Big linked data projects Louisa Jorm Big linked data projects Louisa Jorm Centre for Health Research, University of Western Sydney Centre for Big Data Research in Health, University of NSW (from 10 Nov 2014) Research focus Policy partnerships

More information