Individual patient data meta-analysis of continuous diagnostic markers

Size: px
Start display at page:

Download "Individual patient data meta-analysis of continuous diagnostic markers"

Transcription

1 Individual patient data meta-analysis of continuous diagnostic markers J.B. Reitsma Julius Center for Health Sciences and Primary Care UMC Utrecht /

2 Outline IPD benefits Meta-analytical challenges ROC regression based on standardized marker values of cases Example study: mesothelin for diagnosing pleural mesothelioma

3 What is IPD? Traditional meta-analysis uses published summary (aggregate) data from primary studies Dataset: one row per included study with effect measure(s), their precision and study features Individual Patient Data meta-analysis combines the original (raw, crude) data from individual patients of different studies Dataset: each row is a individual patient with outcomes, patient and study characteristics

4 IPD benefits: general & diagnostic General IPD benefits: quality control & use of additional data & improve comparability Examining patient-level subgroups: more flexibility & more statistical power Continuous marker: handling of differences in cutoffs & better estimation of the summary ROC curve Statistical approach not straightforward

5 IPD Challenges Need to adjust for study when combining curves: Example overall shift in marker values Covariate adjusted ROC curve = weighted average of the study-specific curves Covariates affecting the ROC curve: Covariates have an impact on the overall accuracy: affect the separation between cases and controls) Covariate-specific ROC curves

6 Meta-analytical Challenges

7 ROC curves: need for adjustment Distribution of marker values of control groups differs between studies Mesothelin example: different kits by different studies

8

9 2 ROC curves: Covariate-specific (red) + Pooled ROC curve (black) Prevalence or P(D=1 Z=0) is 25% Prevalence or P(D=1 Z=1) is 75%

10 2 ROC curves: Covariate-specific (red) + Pooled ROC curve (black) Prevalence in Z=0 is 50% Prevalence in Z=1 is 50%

11 Cumulative distribution of Standardized Marker Approach

12 Standardized case marker approach Based on the approach of Janes & Pepe to adjust ROC curves for covariates in a single study Modified steps of their approach: 1. Estimate the cumulative distribution of the marker among controls as a function of study 2. Calculate the percentile values of the cases based on this distribution conditional on study 3. The cumulative distribution of these percentile values of cases is then the weighted ROC curve Janes & Pepe. Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new setting. Am J Epidmiol 2008.

13 Step 1 & 2: Percentile values of cases based on control distribution Specify how study (Z) affects the distribution of Y among controls: = β + β Z + ε Y 0 1 Calculate percentile values of cases using the control distribution standardized on Z as reference: pv DZ = Fˆ ( Y ( ˆ β + β 0 1Z )) Interpretation percentile values (pv): If a case has value Y and 20% of the corresponding controls have a value higher than Y, the pv =0.2 Also known as placement value

14 Calculate ROC curve using PV of cases ROC curve is the cumulative pv distribution of cases: ROC( f ) = P(1 pv f DZ ) To fit ROC, select a set (p) of discrete False Positive Rate values (f) spanning the interval (0,1) For each case create, n p records where the outcome is either U=1 or 0 A binary regression model with link g, outcome U and covariate g -1 (f) will generate the binormal (g=standard normal CDF) or bilogistic ROC curve Bootstrap to obtain standard errors or CI bands

15 Case Study: Mesothelin for Mesothelioma

16 Mesothelin for malignant mesothelioma Mesothelioma is asbestos-related malignancy with a poor prognosis in general Early diagnosis improves outcome, but diagnosis typically occurs in advanced stage due to non-specific complaints & slow onset Biomarkers may lead to an earlier diagnosis Problems identified in traditional reviews: - use of different cut-offs - non-standardized measurements - impact clinical subgroups Hollevoet et al. J Clin Oncol 2012

17 Hollevoet et al. Journal of Clinical Oncology 2012

18 Mesothelin example Hollevoet et al. J Clin Oncol 2012

19 Mesothelin example

20 Mesothelin example AUC = average of percentile values of cases Hollevoet et al. J Clin Oncol 2012

21 Discussion & Conclusion IPD data generate much more insight in the distribution of marker values across studies Better estimation of summary ROC curve and comparison of ROC curves between subgroups IPD no cure for poorly designed studies Approach of placement values appears attractive: flexible and use of existing techniques Comparison with alternative approaches needed

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining Knowledge Discovery and Data Mining Lecture 15 - ROC, AUC & Lift Tom Kelsey School of Computer Science University of St Andrews http://tom.home.cs.st-andrews.ac.uk twk@st-andrews.ac.uk Tom Kelsey ID5059-17-AUC

More information

Biomarker Discovery and Data Visualization Tool for Ovarian Cancer Screening

Biomarker Discovery and Data Visualization Tool for Ovarian Cancer Screening , pp.169-178 http://dx.doi.org/10.14257/ijbsbt.2014.6.2.17 Biomarker Discovery and Data Visualization Tool for Ovarian Cancer Screening Ki-Seok Cheong 2,3, Hye-Jeong Song 1,3, Chan-Young Park 1,3, Jong-Dae

More information

Strategies for Identifying Students at Risk for USMLE Step 1 Failure

Strategies for Identifying Students at Risk for USMLE Step 1 Failure Vol. 42, No. 2 105 Medical Student Education Strategies for Identifying Students at Risk for USMLE Step 1 Failure Jira Coumarbatch, MD; Leah Robinson, EdS; Ronald Thomas, PhD; Patrick D. Bridge, PhD Background

More information

Methods for Meta-analysis in Medical Research

Methods for Meta-analysis in Medical Research Methods for Meta-analysis in Medical Research Alex J. Sutton University of Leicester, UK Keith R. Abrams University of Leicester, UK David R. Jones University of Leicester, UK Trevor A. Sheldon University

More information

Evaluation of Diagnostic Tests

Evaluation of Diagnostic Tests Biostatistics for Health Care Researchers: A Short Course Evaluation of Diagnostic Tests Presented ed by: Siu L. Hui, Ph.D. Department of Medicine, Division of Biostatistics Indiana University School of

More information

Despite its emphasis on credit-scoring/rating model validation,

Despite its emphasis on credit-scoring/rating model validation, RETAIL RISK MANAGEMENT Empirical Validation of Retail Always a good idea, development of a systematic, enterprise-wide method to continuously validate credit-scoring/rating models nonetheless received

More information

THE RISK DISTRIBUTION CURVE AND ITS DERIVATIVES. Ralph Stern Cardiovascular Medicine University of Michigan Ann Arbor, Michigan. stern@umich.

THE RISK DISTRIBUTION CURVE AND ITS DERIVATIVES. Ralph Stern Cardiovascular Medicine University of Michigan Ann Arbor, Michigan. stern@umich. THE RISK DISTRIBUTION CURVE AND ITS DERIVATIVES Ralph Stern Cardiovascular Medicine University of Michigan Ann Arbor, Michigan stern@umich.edu ABSTRACT Risk stratification is most directly and informatively

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

Sepsis and the Clinical Laboratory

Sepsis and the Clinical Laboratory Sepsis and the Clinical Laboratory Alison Woodworth, PhD Department of Pathology, Microbiology, and Immunology Vanderbilt University Medical Center Nashville, TN Learning Objectives Outline the Pathogenesis

More information

Measures of diagnostic accuracy: basic definitions

Measures of diagnostic accuracy: basic definitions Measures of diagnostic accuracy: basic definitions Ana-Maria Šimundić Department of Molecular Diagnostics University Department of Chemistry, Sestre milosrdnice University Hospital, Zagreb, Croatia E-mail

More information

Original Article Performance of osteopontin in the diagnosis of malignant pleural mesothelioma: a meta-analysis

Original Article Performance of osteopontin in the diagnosis of malignant pleural mesothelioma: a meta-analysis Int J Clin Exp Med 2014;7(5):1289-1296 www.ijcem.com /ISSN:1940-5901/IJCEM0000365 Original Article Performance of osteopontin in the diagnosis of malignant pleural mesothelioma: a meta-analysis Hui Lin

More information

Non-invasive diagnosis of pleural malignancies: The role of tumour markers

Non-invasive diagnosis of pleural malignancies: The role of tumour markers Lung Cancer (2008) 59, 350 354 available at www.sciencedirect.com journal homepage: www.elsevier.com/locate/lungcan Non-invasive diagnosis of pleural malignancies: The role of tumour markers Michel M.

More information

Combined CA125 and Mesothelin Levels for the Diagnosis of Malignant Mesothelioma*

Combined CA125 and Mesothelin Levels for the Diagnosis of Malignant Mesothelioma* CHEST Combined CA125 and Mesothelin Levels for the Diagnosis of Malignant Mesothelioma* Jenette Creaney, PhD; Ivonne van Bruggen, BSc; Michelle Hof, BSc; Amanda Segal, MBBS; Arthur W. Musk, MBBS, MD, FCCP;

More information

Data Mining Techniques for Prognosis in Pancreatic Cancer

Data Mining Techniques for Prognosis in Pancreatic Cancer Data Mining Techniques for Prognosis in Pancreatic Cancer by Stuart Floyd A Thesis Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUE In partial fulfillment of the requirements for the Degree

More information

Update on Mesothelioma

Update on Mesothelioma November 8, 2012 Update on Mesothelioma Intro incidence and nomenclature Update on Classification Diagnostic specimens Morphologic features Epithelioid Histology Biphasic Histology Immunohistochemical

More information

STATISTICA Formula Guide: Logistic Regression. Table of Contents

STATISTICA Formula Guide: Logistic Regression. Table of Contents : Table of Contents... 1 Overview of Model... 1 Dispersion... 2 Parameterization... 3 Sigma-Restricted Model... 3 Overparameterized Model... 4 Reference Coding... 4 Model Summary (Summary Tab)... 5 Summary

More information

Prognosis: diagnosing the future. The temporal dimension of diagnosis. Predictive models

Prognosis: diagnosing the future. The temporal dimension of diagnosis. Predictive models Prognosis: diagnosing the future. The temporal dimension of diagnosis. Predictive models Gennaro D Amico Gastroenterology Unit V Cervello Hospital Palermo gedamico@libero.it Diagnosing the future The link

More information

Credit Risk Models. August 24 26, 2010

Credit Risk Models. August 24 26, 2010 Credit Risk Models August 24 26, 2010 AGENDA 1 st Case Study : Credit Rating Model Borrowers and Factoring (Accounts Receivable Financing) pages 3 10 2 nd Case Study : Credit Scoring Model Automobile Leasing

More information

Scatter Plots with Error Bars

Scatter Plots with Error Bars Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each

More information

SOME STATISTICAL ISSUES IN THE DESIGN AND ANALYSIS OF VACCINE CLINICAL TRIALS IN CANCER PATIENTS

SOME STATISTICAL ISSUES IN THE DESIGN AND ANALYSIS OF VACCINE CLINICAL TRIALS IN CANCER PATIENTS SOME STATISTICAL ISSUES IN THE DESIGN AND ANALYSIS OF VACCINE CLINICAL TRIALS IN CANCER PATIENTS isbtc Workshop; 10/28/09 DOUGLAS M. POTTER Biostatistics Department, Graduate School of Public Health, University

More information

RESEARCH ARTICLE. Fibulin-3 as a Diagnostic Biomarker in Patients with Malignant Mesothelioma

RESEARCH ARTICLE. Fibulin-3 as a Diagnostic Biomarker in Patients with Malignant Mesothelioma DOI:http://dx.doi.org/10.7314/APJCP.2015.16.4.1403 RESEARCH ARTICLE Fibulin-3 as a Diagnostic Biomarker in Patients with Malignant Mesothelioma Halide Kaya 1 *, Melike Demir 1, Mahsuk Taylan 1, Cengizhan

More information

Health Care and Life Sciences

Health Care and Life Sciences Sensitivity, Specificity, Accuracy, Associated Confidence Interval and ROC Analysis with Practical SAS Implementations Wen Zhu 1, Nancy Zeng 2, Ning Wang 2 1 K&L consulting services, Inc, Fort Washington,

More information

L Lang-Lazdunski, A Bille, S Marshall, R Lal, D Landau, J Spicer

L Lang-Lazdunski, A Bille, S Marshall, R Lal, D Landau, J Spicer Pleurectomy/decortication, hyperthermic pleural lavage with povidone-iodine and systemic chemotherapy in malignant pleural mesothelioma. A 10-year experience. L Lang-Lazdunski, A Bille, S Marshall, R Lal,

More information

Journal of Information

Journal of Information Journal of Information journal homepage: http://www.pakinsight.com/?ic=journal&journal=104 PREDICT SURVIVAL OF PATIENTS WITH LUNG CANCER USING AN ENSEMBLE FEATURE SELECTION ALGORITHM AND CLASSIFICATION

More information

DIAPHRAGM. DIAgnostic and Prognostic biomarkers in the Rational Assessment of Mesothelioma

DIAPHRAGM. DIAgnostic and Prognostic biomarkers in the Rational Assessment of Mesothelioma DIAPHRAGM DIAgnostic and Prognostic biomarkers in the Rational Assessment of Mesothelioma Kevin Blyth Consultant Respiratory Physician, Southern General Hospital NRS Research Fellow & Honorary Clinical

More information

Rulex s Logic Learning Machines successfully meet biomedical challenges.

Rulex s Logic Learning Machines successfully meet biomedical challenges. Rulex s Logic Learning Machines successfully meet biomedical challenges. Rulex is a predictive analytics platform able to manage and to analyze big amounts of heterogeneous data. With Rulex, it is possible,

More information

Systematic Reviews and Meta-analyses

Systematic Reviews and Meta-analyses Systematic Reviews and Meta-analyses Introduction A systematic review (also called an overview) attempts to summarize the scientific evidence related to treatment, causation, diagnosis, or prognosis of

More information

ABSTRACT INTRODUCTION

ABSTRACT INTRODUCTION Paper SP03-2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer, Grand Valley State University, Allendale, MI Patrick J. Richardson, Van Andel

More information

Bayesian Penalized Methods for High Dimensional Data

Bayesian Penalized Methods for High Dimensional Data Bayesian Penalized Methods for High Dimensional Data Joseph G. Ibrahim Joint with Hongtu Zhu and Zakaria Khondker What is Covered? Motivation GLRR: Bayesian Generalized Low Rank Regression L2R2: Bayesian

More information

Rare Thoracic Tumours

Rare Thoracic Tumours Rare Thoracic Tumours 1. Epithelial Tumour of Trachea 1 1.1 General Results Table 1. Epithelial Tumours of Trachea: Incidence, Trends, Survival Flemish Region 2001-2010 Both Sexes Incidence Trend EAPC

More information

Chapter 4 - Lecture 1 Probability Density Functions and Cumul. Distribution Functions

Chapter 4 - Lecture 1 Probability Density Functions and Cumul. Distribution Functions Chapter 4 - Lecture 1 Probability Density Functions and Cumulative Distribution Functions October 21st, 2009 Review Probability distribution function Useful results Relationship between the pdf and the

More information

Malignant Pleural Diseases Advances Clinicians Should Know F Gleeson

Malignant Pleural Diseases Advances Clinicians Should Know F Gleeson Malignant Pleural Diseases Advances Clinicians Should Know F Gleeson The following relevant disclosures, conflicts of interest and/ or financial relationships exist related to this presentation: Consultant

More information

Beware that Low Urine Creatinine! by Vera F. Dolan MSPH FALU, Michael Fulks MD, Robert L. Stout PhD

Beware that Low Urine Creatinine! by Vera F. Dolan MSPH FALU, Michael Fulks MD, Robert L. Stout PhD 1 Beware that Low Urine Creatinine! by Vera F. Dolan MSPH FALU, Michael Fulks MD, Robert L. Stout PhD Executive Summary: The presence of low urine creatinine at insurance testing is associated with increased

More information

Big Data and Oncology Care Quality Improvement in the United States

Big Data and Oncology Care Quality Improvement in the United States Big Data and Oncology Care Quality Improvement in the United States Peter P. Yu, MD, FACP, FASCO President, American Society of Clinical Oncology Director of Cancer Research, Palo Alto Medical Foundation

More information

NHS Diabetes Prevention Programme (NHS DPP) Non-diabetic hyperglycaemia. Produced by: National Cardiovascular Intelligence Network (NCVIN)

NHS Diabetes Prevention Programme (NHS DPP) Non-diabetic hyperglycaemia. Produced by: National Cardiovascular Intelligence Network (NCVIN) NHS Diabetes Prevention Programme (NHS DPP) Non-diabetic hyperglycaemia Produced by: National Cardiovascular Intelligence Network (NCVIN) Date: August 2015 About Public Health England Public Health England

More information

MedicalBiostatistics.com

MedicalBiostatistics.com 1 MedicalBiostatistics.com HOME ROC Curve Many full term births in a hospital require induction of labor. Induction succeeds in most cases but fails in a few. In case the induction fails, a Cesarean is

More information

Occupational respiratory diseases due to Asbestos. Dirk Dahmann, IGF, Bochum

Occupational respiratory diseases due to Asbestos. Dirk Dahmann, IGF, Bochum Occupational respiratory diseases due to Asbestos Dirk Dahmann, IGF, Bochum Contents Introduction Diseases Further Effects Preventive Strategies Conclusion Asbestos minerals Woitowitz, 2003 Imports (+

More information

Data Mining. Nonlinear Classification

Data Mining. Nonlinear Classification Data Mining Unit # 6 Sajjad Haider Fall 2014 1 Nonlinear Classification Classes may not be separable by a linear boundary Suppose we randomly generate a data set as follows: X has range between 0 to 15

More information

National Coverage Determination (NCD) for Tumor Antigen by Immunoassay - CA 125 (190.28)

National Coverage Determination (NCD) for Tumor Antigen by Immunoassay - CA 125 (190.28) National Coverage Determination (NCD) for Tumor Antigen by Immunoassay - CA 125 (190.28) Tracking Information Publication Number Manual Section Number 100-3 190.28 Manual Section Title Tumor Antigen by

More information

Identifying SPAM with Predictive Models

Identifying SPAM with Predictive Models Identifying SPAM with Predictive Models Dan Steinberg and Mikhaylo Golovnya Salford Systems 1 Introduction The ECML-PKDD 2006 Discovery Challenge posed a topical problem for predictive modelers: how to

More information

Retrospective analysis of large scale research screening of construction workers for the early diagnosis of mesothelioma

Retrospective analysis of large scale research screening of construction workers for the early diagnosis of mesothelioma 26 Retrospective analysis of large scale research screening of construction workers for the early diagnosis of mesothelioma TOMOKO HIROHASHI 1, KIYOKO IGARASHI 2, MASAAKI ABE 1, MASAHIRO MAEDA 3 and OKIO

More information

Early Detection Research Network: Validation Infrastructure. Jo Ann Rinaudo, Ph.D. Division of Cancer Prevention

Early Detection Research Network: Validation Infrastructure. Jo Ann Rinaudo, Ph.D. Division of Cancer Prevention Early Detection Research Network: Validation Infrastructure Jo Ann Rinaudo, Ph.D. Division of Cancer Prevention 15 October 2015 Mission The NCI Early Detection Research Network s (EDRN) mission is to implement

More information

Na#onal Asbestos Forum 2013: Advance in Medical Research on Asbestos- Related Diseases

Na#onal Asbestos Forum 2013: Advance in Medical Research on Asbestos- Related Diseases Na#onal Asbestos Forum 2013: Advance in Medical Research on Asbestos- Related Diseases Professor Nico van Zandwijk Asbestos Diseases Research Ins#tute Content List of Asbestos- Related Diseases Epidemiology

More information

7. Prostate cancer in PSA relapse

7. Prostate cancer in PSA relapse 7. Prostate cancer in PSA relapse A patient with prostate cancer in PSA relapse is one who, having received a primary treatment with intent to cure, has a raised PSA (prostate-specific antigen) level defined

More information

R 2 -type Curves for Dynamic Predictions from Joint Longitudinal-Survival Models

R 2 -type Curves for Dynamic Predictions from Joint Longitudinal-Survival Models Faculty of Health Sciences R 2 -type Curves for Dynamic Predictions from Joint Longitudinal-Survival Models Inference & application to prediction of kidney graft failure Paul Blanche joint work with M-C.

More information

Development and Validation of a Screening Questionnaire for Psoriatic Arthritis

Development and Validation of a Screening Questionnaire for Psoriatic Arthritis Development and Validation of a Screening Questionnaire for Psoriatic Arthritis Dafna D. Gladman 1, Catherine T. Schentag 1, Brian D. Tom 2, Vinod Chandran 1, Cheryl F. Rosen 1 Vernon T. Farewell 2 1 University

More information

A Bayesian hierarchical surrogate outcome model for multiple sclerosis

A Bayesian hierarchical surrogate outcome model for multiple sclerosis A Bayesian hierarchical surrogate outcome model for multiple sclerosis 3 rd Annual ASA New Jersey Chapter / Bayer Statistics Workshop David Ohlssen (Novartis), Luca Pozzi and Heinz Schmidli (Novartis)

More information

CHILDHOOD CANCER SURVIVOR STUDY Analysis Concept Proposal

CHILDHOOD CANCER SURVIVOR STUDY Analysis Concept Proposal CHILDHOOD CANCER SURVIVOR STUDY Analysis Concept Proposal 1. STUDY TITLE: Longitudinal Assessment of Chronic Health Conditions: The Aging of Childhood Cancer Survivors 2. WORKING GROUP AND INVESTIGATORS:

More information

Bayes Theorem & Diagnostic Tests Screening Tests

Bayes Theorem & Diagnostic Tests Screening Tests Bayes heorem & Screening ests Bayes heorem & Diagnostic ests Screening ests Some Questions If you test positive for HIV, what is the probability that you have HIV? If you have a positive mammogram, what

More information

How can you unlock the value in real-world data? A novel approach to predictive analytics could make the difference.

How can you unlock the value in real-world data? A novel approach to predictive analytics could make the difference. How can you unlock the value in real-world data? A novel approach to predictive analytics could make the difference. What if you could diagnose patients sooner, start treatment earlier, and prevent symptoms

More information

Which smokers develop COPD? A prediction rule. Geijer RMM Sachs APE Verheij TJM Zuithoff, NPA Lammers J-WJ Hoes AW

Which smokers develop COPD? A prediction rule. Geijer RMM Sachs APE Verheij TJM Zuithoff, NPA Lammers J-WJ Hoes AW 5 Which smokers develop COPD? A prediction rule Geijer RMM Sachs APE Verheij TJM Zuithoff, NPA Lammers J-WJ Hoes AW 54 Prediction of moderate COPD Introduction Tobacco smoking is the main risk factor for

More information

Asbestos-Related Cancer Research and Prevention

Asbestos-Related Cancer Research and Prevention Asbestos-Related Cancer Research and Prevention Professor Nico van Zandwijk Asbestos Diseases Research Institute University of Sydney International Conference on Asbestos Awareness and Management 18 November

More information

Medicare Coverage for Individuals Exposed to Asbestos in Lincoln County, Montana. www.socialsecurity.gov/libby

Medicare Coverage for Individuals Exposed to Asbestos in Lincoln County, Montana. www.socialsecurity.gov/libby Medicare Coverage for Individuals Exposed to Asbestos in Lincoln County, Montana www.socialsecurity.gov/libby Medicare coverage is available for certain individuals who were exposed to asbestos in Lincoln

More information

Title: A prospective trial evaluating the role of mesothelin in undiagnosed pleural effusions. Authors

Title: A prospective trial evaluating the role of mesothelin in undiagnosed pleural effusions. Authors ERJ Express. Published on July 12, 2012 as doi: 10.1183/09031936.00148211 Title: A prospective trial evaluating the role of mesothelin in undiagnosed pleural effusions. Authors 1/. Clare E Hooper clarehooper@doctors.org.uk

More information

Adequacy of Biomath. Models. Empirical Modeling Tools. Bayesian Modeling. Model Uncertainty / Selection

Adequacy of Biomath. Models. Empirical Modeling Tools. Bayesian Modeling. Model Uncertainty / Selection Directions in Statistical Methodology for Multivariable Predictive Modeling Frank E Harrell Jr University of Virginia Seattle WA 19May98 Overview of Modeling Process Model selection Regression shape Diagnostics

More information

Predicting The Risk Of Rheumatoid Arthritis

Predicting The Risk Of Rheumatoid Arthritis Predicting The Risk Of Rheumatoid Arthritis Modelling Genetic And Environmental Risk Factors Ian Scott Arthritis Research UK Clinical Research Fellow Declaration Of Interests: No Competing Interests Describe

More information

How to set the main menu of STATA to default factory settings standards

How to set the main menu of STATA to default factory settings standards University of Pretoria Data analysis for evaluation studies Examples in STATA version 11 List of data sets b1.dta (To be created by students in class) fp1.xls (To be provided to students) fp1.txt (To be

More information

Package ROC632. February 19, 2015

Package ROC632. February 19, 2015 Type Package Package ROC632 February 19, 2015 Title Construction of diagnostic or prognostic scoring system and internal validation of its discriminative capacities based on ROC curve and 0.633+ boostrap

More information

Malignant Pleural Mesothelioma Prognostic Marker: A Review of Osteopontin and Soluble Mesothelin Peptides

Malignant Pleural Mesothelioma Prognostic Marker: A Review of Osteopontin and Soluble Mesothelin Peptides Tropical Journal of Pharmaceutical Research December 2010; 9 (6): 605-613 Pharmacotherapy Group, Faculty of Pharmacy, University of Benin, Benin City, 300001 Nigeria. All rights reserved. Review Article

More information

A Cross-Sectional Study of Asbestos- Related Morbidity and Mortality in Vermonters Residing Near an Asbestos Mine November 3, 2008

A Cross-Sectional Study of Asbestos- Related Morbidity and Mortality in Vermonters Residing Near an Asbestos Mine November 3, 2008 A Cross-Sectional Study of Asbestos- Related Morbidity and Mortality in Vermonters Residing Near an Asbestos Mine 108 Cherry Street, PO Box 70 Burlington, VT 05402 802.863.7200 healthvermont.gov A Cross-Sectional

More information

Combining diagnostic test results to increase accuracy

Combining diagnostic test results to increase accuracy Biostatistics (2000),, 2,pp. 23 40 Printed in Great Britain Combining diagnostic test results to increase accuracy MARGARET SULLIVAN PEPE Division of Public Health Sciences, Fred Hutchinson Cancer Research

More information

Social inequalities impacts of care management and survival in patients with non-hodgkin lymphomas (ISO-LYMPH)

Social inequalities impacts of care management and survival in patients with non-hodgkin lymphomas (ISO-LYMPH) Session 3 : Epidemiology and public health Social inequalities impacts of care management and survival in patients with non-hodgkin lymphomas (ISO-LYMPH) Le Guyader-Peyrou Sandra Bergonie Institut Context:

More information

Chris Slaughter, DrPH. GI Research Conference June 19, 2008

Chris Slaughter, DrPH. GI Research Conference June 19, 2008 Chris Slaughter, DrPH Assistant Professor, Department of Biostatistics Vanderbilt University School of Medicine GI Research Conference June 19, 2008 Outline 1 2 3 Factors that Impact Power 4 5 6 Conclusions

More information

Screening for psychological distress in inoperable lung cancer patients: an evaluation of the Brief Distress Thermometer (BDT)

Screening for psychological distress in inoperable lung cancer patients: an evaluation of the Brief Distress Thermometer (BDT) Screening for psychological distress in inoperable lung cancer patients: an evaluation of the Brief Distress Thermometer (BDT) K. Sharkey; A. Ugalde; M. Krishnasamy; K. Gough; D. Ball; S. Aranda; P. Schofield

More information

The interpretation of diagnostic tests

The interpretation of diagnostic tests Statistical Methods in Medical Research 1999; 8: 113±134 The interpretation of diagnostic tests David E Shapiro Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts,

More information

Classification models for predicting a patient clinical status: discussion on the case of the chemotherapy induced neutropenia duration

Classification models for predicting a patient clinical status: discussion on the case of the chemotherapy induced neutropenia duration Classification models for predicting a patient clinical status: discussion on the case of the chemotherapy induced neutropenia duration S. San Matías 1*, M. Clemente 1 and V. Giner Bosch 1 1 Departamento

More information

Unmet Needs for Parkinson s Disease Therapeutics

Unmet Needs for Parkinson s Disease Therapeutics Unmet Needs for Parkinson s Disease Therapeutics Coalition Against Major Diseases & FDA Workshop October 20, 2014 Caroline M Tanner MD, PhD Director, Parkinson's Disease Research Education and Clinical

More information

CGS2 2003 2004 2005 2006 2007 2008 2009 2010 X X X X X

CGS2 2003 2004 2005 2006 2007 2008 2009 2010 X X X X X CGS2 Blue, GCS, time Black, GCS, time Red, GCS, time CGS2 Blue, GCS, time Black, GCS, time Red, GCS, time CGS1 Blue, GCS, time Black, GCS, time Red, GCS, time CGS2 (Discontinued) Blue, GCS, time Black,

More information

Leveraging electronic health records for predictive modeling of surgical complications. Grant Weller

Leveraging electronic health records for predictive modeling of surgical complications. Grant Weller Leveraging electronic health records for predictive modeling of surgical complications Grant Weller ISCB 2015 Utrecht NL August 26, 2015 Collaborators: David W. Larson, MD; Jenna Lovely, PharmD, RPh; Berton

More information

Non-invasive evaluation of liver fibrosis: current clinical use and next perspectives (chronic hepatitis C)

Non-invasive evaluation of liver fibrosis: current clinical use and next perspectives (chronic hepatitis C) Non-invasive evaluation of liver fibrosis: current clinical use and next perspectives (chronic hepatitis C) Paul Calès Liver and Gastroenterology department, University hospital & HIFIH laboratory, Angers

More information

Research Article Pleural Fluid Mesothelin as an Adjunct to the Diagnosis of Pleural Malignant Mesothelioma

Research Article Pleural Fluid Mesothelin as an Adjunct to the Diagnosis of Pleural Malignant Mesothelioma Disease Markers, Article ID 43946, 0 pages http://dx.doi.org/0.55/4/43946 Research Article Pleural Fluid Mesothelin as an Adjunct to the Diagnosis of Pleural Malignant Mesothelioma Jenette Creaney,,2 Amanda

More information

S03-2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito, University of Louisville, Louisville, KY

S03-2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito, University of Louisville, Louisville, KY S03-2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito, University of Louisville, Louisville, KY ABSTRACT Predictive modeling includes regression, both logistic and linear,

More information

Actuarial projections for mesothelioma: an epidemiological perspective Mark Clements, Geoffrey Berry and Jill Shi

Actuarial projections for mesothelioma: an epidemiological perspective Mark Clements, Geoffrey Berry and Jill Shi Actuarial projections for mesothelioma: an epidemiological perspective Mark Clements, Geoffrey Berry and Jill Shi 27 slides to go Who are we? I am an epidemiologist/biostatistician from the Australian

More information

RESEARCH COMMUNICATION. HE4 and Mesothelin: Novel Biomarkers of Ovarian Carcinoma in Patients with Pelvic Masses

RESEARCH COMMUNICATION. HE4 and Mesothelin: Novel Biomarkers of Ovarian Carcinoma in Patients with Pelvic Masses HE4 and Mesothelin: Novel Biomarkers of Ovarian Carcinoma RESEARCH COMMUNICATION HE4 and Mesothelin: Novel Biomarkers of Ovarian Carcinoma in Patients with Pelvic Masses Hala A Abdel-Azeez 1 *, Hany A

More information

Online estimation of the risk of blood contamination

Online estimation of the risk of blood contamination Online estimation of the risk of blood contamination Welling Oei Transfusion Technology Assessment (TTA) Group Julius Center for Health Sciences and Primary Care, UMC Utrecht, The Netherlands IPFA/PEI

More information

The 4Kscore blood test for risk of aggressive prostate cancer

The 4Kscore blood test for risk of aggressive prostate cancer The 4Kscore blood test for risk of aggressive prostate cancer Prostate cancer tests When to use the 4Kscore Test? Screening Prior to 1 st biopsy Prior to negative previous biopsy Prognosis in Gleason 6

More information

Cancer Medicine. Newly established ELISA for N-ERC/mesothelin improves diagnostic accuracy in patients with suspected pleural mesothelioma

Cancer Medicine. Newly established ELISA for N-ERC/mesothelin improves diagnostic accuracy in patients with suspected pleural mesothelioma Cancer Medicine ORIGINAL RESEARCH Open Access Newly established ELISA for N-ERC/mesothelin improves diagnostic accuracy in patients with suspected pleural mesothelioma Tadashi Sato 1, Yohei Suzuki 1, Takanori

More information

Fingerprinting the Datacenter: Automated Classification of Performance Crises

Fingerprinting the Datacenter: Automated Classification of Performance Crises Fingerprinting the Datacenter: Automated Classification of Performance Crises Peter Bodík University of California, Berkeley Armando Fox University of California, Berkeley Moises Goldszmidt Microsoft Research

More information

EVALUATION/PRIORITIZATION CRITERIA: C, L, R, S *to meet requirement 1

EVALUATION/PRIORITIZATION CRITERIA: C, L, R, S *to meet requirement 1 COMPENDIA TRANSPARENCY TRACKING FORM DATE: MAY 2015 PACKET: 111 DRUG: INDICATION: Vinorelbine Tartrate Malignant pleural mesothelioma COMPENDIA TRANSPARENCY REQUIREMENTS 1 Provide criteria used to evaluate/prioritize

More information

Lean Six Sigma Training/Certification Book: Volume 1

Lean Six Sigma Training/Certification Book: Volume 1 Lean Six Sigma Training/Certification Book: Volume 1 Six Sigma Quality: Concepts & Cases Volume I (Statistical Tools in Six Sigma DMAIC process with MINITAB Applications Chapter 1 Introduction to Six Sigma,

More information

Independent Validation of the Prognostic Gene Expression Ratio Test in Formalin Fixed, Paraffin Embedded (FFPE) Mesothelioma Tumor Tissue Specimens

Independent Validation of the Prognostic Gene Expression Ratio Test in Formalin Fixed, Paraffin Embedded (FFPE) Mesothelioma Tumor Tissue Specimens Independent Validation of the Prognostic Gene Expression Ratio Test in Formalin Fixed, Paraffin Embedded (FFPE) Mesothelioma Tumor Tissue Specimens Assunta De Rienzo, Ph.D. 1, Robert W. Cook, Ph.D. 2,

More information

Hologic Selenia Dimensions C-View Software Module. October 24, 2012

Hologic Selenia Dimensions C-View Software Module. October 24, 2012 Hologic Selenia Dimensions C-View Software Module October 24, 2012 Introduction and Agenda Peter Soltani, Ph.D. Senior VP & GM, Breast Health Hologic, Inc. Agenda Technology Overview Clinical Overview

More information

Basic research methods. Basic research methods. Question: BRM.2. Question: BRM.1

Basic research methods. Basic research methods. Question: BRM.2. Question: BRM.1 BRM.1 The proportion of individuals with a particular disease who die from that condition is called... BRM.2 This study design examines factors that may contribute to a condition by comparing subjects

More information

AFFORDABLE CARE ACT AUTHORIZING LEGISLATION

AFFORDABLE CARE ACT AUTHORIZING LEGISLATION AFFORDABLE CARE ACT AUTHORIZING LEGISLATION SEC. 10323. MEDICARE COVERAGE FOR INDIVIDUALS EXPOSED TO ENVIRONMENTAL HEALTH HAZARDS. (a) In General- Title XVIII of the Social Security Act (42 U.S.C. 1395

More information

Chapter 15 Multiple Choice Questions (The answers are provided after the last question.)

Chapter 15 Multiple Choice Questions (The answers are provided after the last question.) Chapter 15 Multiple Choice Questions (The answers are provided after the last question.) 1. What is the median of the following set of scores? 18, 6, 12, 10, 14? a. 10 b. 14 c. 18 d. 12 2. Approximately

More information

Advances in Diagnostic and Molecular Testing in Prostate Cancer

Advances in Diagnostic and Molecular Testing in Prostate Cancer Advances in Diagnostic and Molecular Testing in Prostate Cancer Ashley E. Ross MD PhD Assistant Professor Urology, Oncology, Pathology Johns Hopkins School of Medicine September 24, 2015 1 Disclosures

More information

MESOMARK TM : A Potential Test for Malignant Pleural Mesothelioma

MESOMARK TM : A Potential Test for Malignant Pleural Mesothelioma Clinical Chemistry 53:4 666 672 (2007) Cancer Diagnostics MESOMARK TM : A Potential Test for Malignant Pleural Mesothelioma Heather L. Beyer, Ryan D. Geschwindt, Curtis L. Glover, Ly Tran, Ingegerd Hellstrom,

More information

Developing Risk Adjustment Techniques Using the SAS@ System for Assessing Health Care Quality in the lmsystem@

Developing Risk Adjustment Techniques Using the SAS@ System for Assessing Health Care Quality in the lmsystem@ Developing Risk Adjustment Techniques Using the SAS@ System for Assessing Health Care Quality in the lmsystem@ Yanchun Xu, Andrius Kubilius Joint Commission on Accreditation of Healthcare Organizations,

More information

1 page Overview. CONCURRENT 1D, 1E, 1F Biology & Pathogenesis Multi-Modality Immunology 1

1 page Overview. CONCURRENT 1D, 1E, 1F Biology & Pathogenesis Multi-Modality Immunology 1 1 page Overview 21 Oct Tuesday 1500 on REGISTRATION 1800 Welcome Reception & Cocktails at the Cape Town International Conference Centre (CTICC) 22 Oct Wednesday 0730 REGISTRATION 0830 OPENING 0900 PLENARY

More information

Fibulin-3 as a Blood and Effusion Biomarker for Pleural Mesothelioma

Fibulin-3 as a Blood and Effusion Biomarker for Pleural Mesothelioma original article Fibulin-3 as a Blood and Effusion Biomarker for Pleural Harvey I. Pass, M.D., Stephen M. Levin, M.D., Michael R. Harbut, M.D., Jonathan Melamed, M.D., Luis Chiriboga, Ph.D., Jessica Donington,

More information

Fibulin-3 as a Blood and Effusion Biomarker for Pleural Mesothelioma

Fibulin-3 as a Blood and Effusion Biomarker for Pleural Mesothelioma original article Fibulin-3 as a Blood and Effusion Biomarker for Pleural Harvey I. Pass, M.D., Stephen M. Levin, M.D., Michael R. Harbut, M.D., Jonathan Melamed, M.D., Luis Chiriboga, Ph.D., Jessica Donington,

More information

CEA, AFP, CA125, CA153 and CA199 in Malignant Pleural Effusions Predict the Cause

CEA, AFP, CA125, CA153 and CA199 in Malignant Pleural Effusions Predict the Cause DOI:http://dx.doi.org/10.7314/APJCP.2014.15.1.363 CEA, AFP, CA125, CA153 and CA199 in Malignant Pleural Effusions Predict the Cause RESEARCH ARTICLE CEA, AFP, CA125, CA153 and CA199 in Malignant Pleural

More information

MesoPDT. Photodynamic Therapy for malignant pleural mesothelioma ONCO-THAI. Image Assisted Laser Therapy for Oncology

MesoPDT. Photodynamic Therapy for malignant pleural mesothelioma ONCO-THAI. Image Assisted Laser Therapy for Oncology MesoPDT Photodynamic Therapy for malignant pleural mesothelioma ONCO-THAI Image Assisted Laser Therapy for Oncology Unité Inserm ONCO-THAI «Image Assisted Laser Therapy for Oncology» Inserm ONCO-THAI "Image

More information

J of Evidence Based Med & Hlthcare, pissn- 2349-2562, eissn- 2349-2570/ Vol. 2/Issue 33/Aug. 17, 2015 Page 5063

J of Evidence Based Med & Hlthcare, pissn- 2349-2562, eissn- 2349-2570/ Vol. 2/Issue 33/Aug. 17, 2015 Page 5063 PERITONEAL MALIGNANT MESOTHELIOMA: A RARE S. R. Dhamotharan 1, S. Shanthi Nirmala 2, F. Celine Foustina Mary 3, M. Arul Raj Kumar 4, R. Vinothprabhu 5 HOW TO CITE THIS ARTICLE: S. R. Dhamotharan, S. Shanthi

More information

How to Get More Value from Your Survey Data

How to Get More Value from Your Survey Data Technical report How to Get More Value from Your Survey Data Discover four advanced analysis techniques that make survey research more effective Table of contents Introduction..............................................................2

More information

Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up

Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up Georgia State University ScholarWorks @ Georgia State University Mathematics Theses Department of Mathematics and Statistics 7-28-2012 Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study

More information

The risks of mesothelioma and lung cancer in relation to relatively lowlevel exposures to different forms of asbestos

The risks of mesothelioma and lung cancer in relation to relatively lowlevel exposures to different forms of asbestos WATCH/2008/7 Annex 1 The risks of mesothelioma and lung cancer in relation to relatively lowlevel exposures to different forms of asbestos What statements can reliably be made about risk at different exposure

More information

Screening, early referral and treatment for asbestos related cancer

Screening, early referral and treatment for asbestos related cancer Screening, early referral and treatment for asbestos related cancer Marc de Perrot, MD, MSc, FRCSC Toronto Mesothelioma Research Program University of Toronto Asbestos related diseases Mesothelioma Lung

More information

The diagnostic usefulness of tumour markers CEA and CA-125 in pleural effusion

The diagnostic usefulness of tumour markers CEA and CA-125 in pleural effusion Malaysian J Path01 2002; 24(1) : 53-58 The diagnostic usefulness of tumour markers CEA and CA-125 in pleural effusion Pavai STHANESHWAR MD, Sook-Fan YAP FRCPath, FRCPA and Gita JAYARAM MDPath, MRCPath

More information

Critical Appraisal of Article on Therapy

Critical Appraisal of Article on Therapy Critical Appraisal of Article on Therapy What question did the study ask? Guide Are the results Valid 1. Was the assignment of patients to treatments randomized? And was the randomization list concealed?

More information