This Text Provides A Concise And Clearly Presented Discussion Of All The Elements In A Meta-analysis. It Is Illustrated With Worked Examples Throughout, With Visual Explanations, Using Screenshots From Excel Spreadsheets And Computer Programs Such As Comprehensive Meta-analysis (cma) Or Strata. How
Introduction to Meta-Analysis || Random-Effects Model
โ Scribed by Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T.; Rothstein, Hannah R.
- Book ID
- 120091248
- Publisher
- John Wiley & Sons, Ltd
- Year
- 2009
- Tongue
- English
- Weight
- 326 KB
- Edition
- 1
- Category
- Article
- ISBN
- 0470057246
No coin nor oath required. For personal study only.
โฆ Synopsis
This Text Provides A Concise And Clearly Presented Discussion Of All The Elements In A Meta-analysis. It Is Illustrated With Worked Examples Throughout, With Visual Explanations, Using Screenshots From Excel Spreadsheets And Computer Programs Such As Comprehensive Meta-analysis (cma) Or Strata. How A Meta-analysis Works -- Why Perform A Meta-analysis -- Effect Size And Precision -- Overview -- Effect Sizes Based On Means -- Effect Sizes Based On Binary Data (2 X 2 Tables) -- Effect Sizes Based On Correlations -- Converting Among Effect Sizes -- Factors That Affect Precision -- Concluding Remarks -- Fixed-effect Versus Random-effects Models -- Overview -- Fixed-effect Model -- Random-effects Model -- Fixed-effect Versus Random-effects Models -- Worked Examples (part 1) -- Heterogeneity -- Overview -- Identifying And Quantifying Heterogeneity -- Prediction Intervals -- Worked Examples (part 2) -- Subgroup Analyses -- Meta-regression -- Notes On Subgroup Analyses And Meta-regression -- Complex Data Structures -- Overview -- Independent Subgroups Within A Study -- Multiple Outcomes Or Time-points Within A Study -- Multiple Comparisons Within A Study -- Notes On Complex Data Structures -- Other Issues -- Overview -- Vote Counting: A New Name For An Old Problem -- Power Analysis For Meta-analysis -- Publication Bias -- Issues Related To Effect Size -- Overview -- Effect Sizes Rather Than P-values -- Simpson's Paradox -- Generality Of The Basic Inverse-variance Method -- Further Methods -- Overview -- Meta-analysis Methods Based On Direction And P-values -- Further Methods For Dichotomous Data -- Psychometric Meta-analysis -- Meta-analysis In Context -- Overview -- When Does It Make Sense To Perform A Meta-analysis? -- Reporting The Results Of A Meta-analysis -- Cumulative Meta-analysis -- Criticisms Of Meta-analysis -- Resources And Software -- Software -- Books, Web Sites And Professional Organizations. Michael Borenstein ... [et Al.]. Includes Bibliographical References And Index.
๐ SIMILAR VOLUMES
There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the
This Text Provides A Concise And Clearly Presented Discussion Of All The Elements In A Meta-analysis. It Is Illustrated With Worked Examples Throughout, With Visual Explanations, Using Screenshots From Excel Spreadsheets And Computer Programs Such As Comprehensive Meta-analysis (cma) Or Strata. How
Meta-analysis refers to quantitative methods to combine results from independent studies so as to draw overall conclusions. Frequently, results from dissimilar studies are inappropriately combined, resulting in suspect inferential synthesis. We present a straightforward method to identify and addres