CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making 

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and levels of evidence Finding and Managing the Evidence from the Biomedical Literature How to search published and unpublished materials on topic of interest in a systematic and repeatable manner Intervention Reviews Methodology How to select and appraise studies Strategies for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