Programme du parcours Clinical Epidemiology UMR 1. Methods in therapeutic evaluation A Dechartres/A Flahault
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1 Programme du parcours Clinical Epidemiology UR 1. ethods in therapeutic evaluation A /A Date cours Horaires 15/10/ h General principal of therapeutic evaluation (1) 22/10/ h General principal of therapeutic evaluation (2) 29/10/ h Outcome measures and safety 5/11/ h Reporting/different design 12/11/ h Protocol elaboration 19/11/ h Group projects 26/11/ h Biostatistics, basics, Formulating a study question: examples drawn from therapeutic evaluation ; Practice: Loading data file. Data description /12/ h Conducting univariate analyses: strategy for parametric test selection, various assumptions ; Practice: how to perform parametric tests? How to understand outputs from the software? 7/01/ h Conducting univariate analyses: strategy fornon parametric test selection, various assumptions ; Practice: how to perform non parametric tests? How to understand outputs from the software? 21/01/ h Conducting multivariate analyses I (non conditional logistic regression): theoretical bases, strategy for performing analyses; Practice: how to perform analyses? How to understand outputs from the software 1
2 28/01/ h Conducting univariate and multivariate analyses II (non conditional logistic regression): Practice: strategies for performing analyses? How to understand outputs from the software 11/02/ h Exam: performing univariate and multivariate analyses on the software 2
3 UR 2.Principles of Epidemiology 18/02/ h INFORATIQUE Introduction to epidemiology Analysis 1 Basic measures in epidemiology 25/02/ h INFORATIQUE ethodology of observational studies - 1 4/0/ h INFORATIQUE ethodologyof observational studies /0/ h INFORATIQUE ethodology of observational studies - 25/0/ h INFORATIQUE Exercises 1/04/ h INFORATIQUE 8/04/ h INFORATIQUE easures of association Confounding and interaction Introduction to multivariate analysis Sample size and statistical power 15/04/ h Critical reading 6/05/ h INFORATIQUE 1/05/ h INFORATIQUE 20/05/ h Group projects 27/05/ h Group projects Diagnosis: the basics Analysis of diagnosis studies using R software Diagnosis : beyond basics Critical appraisal of the literature (students presentations) Chalumeau Chalumeau Chalumeau / Chalumeau /
4 UR Advanced biostatistics R. Porcher 15/10/ h 22/10/ h 29/10/ h 5/11/ h 12/11/ h 19/11/ h 26/11/ h /12/ h 7/01/ h 21/01/ h 28/01/ h 11/02/ h Principles of statistical analysis R software Comparing groups Continuous data Comparing groups Categorical data Handling missing data Relation between two continuous variables Correlation and linear regression Relation between several variables ultiple linear regression Relation between several variables Logistic regression Analysis of survival data Concepts and basics Analysis of survival data Cox regression; building a prognostic score Statistics for large databases in medicine and biology Analysis of omics data Analysis of aggregated data Principles of meta-analysis Some common issues in medical research Statistics in medical journals 4
5 UR 4: Critical thinking I. 18/02/ h 25/02/ h 4/0/ h The future of clinical research (1) For classical randomized controlled trials to large simple trials The future of clinical research (2) Other designs and source of data The future of clinical research () Patients centered clinical research 11/0/ h The future of clinical research (4) From clinical trials to systematic reviews 25/0/ h The future of clinical research (5) From single disease to multimorbidity 1/04/ h Group projects 8/04/ h 15/04/ h 6/05/ h 1/05/ h 20/05/ h 27/05/ h Group projects practice (1) Funding sources and conflict of interest practice (2) Publication bias and selective reporting of outcomes practice () Transparency and reporting guidelines practice (4) Spin in scientific articles practice (5) Spin in other media 5
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