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Introduction to meta-analysis

1. What is a meta-analysis – A two page summary for non-statisticians
2. A short history of meta-analysis – From the Boer war to the present
3. Fixed effect vs. random effects models – What they are, where they differ, which is appropriate
4. Meta-analysis for prediction – Anova and meta-regression
5. Forest plots in meta-analysis – Seeing the forest and the trees
6. Apples and oranges – Criticisms of meta-analysis
7. What happens when a meta analysis differs from a large randomized trial

Case studies in meta-analysis

1. Meta-analysis can save your life – The streptokinase trials
2. Meta-analysis: Does passive smoking cause lung cancer?
3. Meta-analysis: Will the “Scared Straight” program keep kids out of jail?
4. Meta-analysis: Will aspirin prevent a myocardial infarction?
5. Meta-analysis: Should siblings be allowed to visit a newborn in hospital?
6. Meta-analysis, SIDS, and Dr. Spock

CMA tutorials:  Step-by-step examples

1. Meta-analysis: Social science example using means
2. Meta-analysis: Medical example using odds ratio
3. Meta-analysis: Human resources example using correlations

CMA Manual

1. Current version of the manual for Comprehensive Meta Analysis

Advanced issues in using CMA Version 2

1. How to enter effect size data for each study in its own format
2. Using odds ratios, standard differences, and correlations in the same analysis
3. Computing standard errors for studies with independent groups vs. paired groups
4. Standardized mean difference vs. the Paired standardized mean difference
5. When studies report data for more than one subgroup
6. When studies report data for multiple outcomes, time-points, or comparisons
7. Assessing the potential impact of publication bias
8. Importing data from Revman, Stata, SPSS, Excel, and other programs