- Sur www.edx.org
CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making
- À son rythme
- Accès libre
- Certificat payant
- 3 séquences
- Niveau Introductif
Détails du cours
Déroulé
Overview of Systematic Reviews
- Knowledge synthesis and the knowledge-to-action process
- Benefits and limitations of systematic reviews
- Steps of a systematic review and levels of evidence
Finding and Managing the Evidence from the Biomedical Literature
- How to search published and unpublished materials on topic of interest in a systematic and repeatable manner
Intervention Reviews Methodology
- How to select and appraise studies
- Strategies for collecting and analyzing data
- How to report and update systematic reviews
Meta-Analysis of Clinical Trials: Direct Comparisons
- Qualitative and quantitative synthesis
- Models to use during data analysis
- Heterogeneity
- Reporting methods for meta-analyses
Introduction to Meta-Analysis: Indirect Comparisons
- Indirect comparisons
- Evidence networks
- Effect modifiers and how they are a source of bias
Meta-Analysis of Non-Randomized Studies
- Risks of bias in non-randomized studies
- Meta-regression as a tool to reduce risk of bias
- Caveats of meta-regression
- Reporting meta-analyses of non-randomized studies
Diagnostic Test Evaluation
- Purposes for medical testing
- Precision and accuracy
- Measures of validity for diagnostic/screening tests
- Likelihood ratio for analysis of test performance
- ROC curves for analysis of test performance
Meta-Synthesis
- Methods for collecting and synthesizing data
- Reporting of meta-synthesis findings
Clinical Practice Guidelines
- Process of guideline development
- How evidence is evaluated
- How clinical practice guidelines are evaluated and revised
Economic Evaluation
- Clinical decision analysis and economic evaluation
- Costs and methods for economic evaluation
- Cost-effectiveness and cost analysis
- Steps for economic evaluation
Decision Analysis for Outcomes Research
- Decision analysis and modeling
- Markov modeling
- Capturing of uncertainty in models
- Examples of decision modeling in cancer outcomes research
Prérequis
Introduction course (CERTaIN.1x) recommended, but not required.
Intervenants
Maria E. Suarez-Almazor, MD, PhD
Barnts Family Distinguished Professor
The University of Texas MD Anderson Cancer Center
Maria A. Lopez-Olivo, MD, PhD
Assistant Professor
The University of Texas MD Anderson Cancer Center
Plateforme
EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.
EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.
Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.