Finally...a book addressing the various needs, concepts, and approaches forSAS users who work with meta-analytic procedures! Wang and Bushman introduce the reader to the important concepts in meta-analysis and how to use SAS software for this specific type of analysis. The authors thoroughly describe how meta-analysis can be used in data mining projects to discover meaningful relations among variables in a collection of studies. In addition, the following concepts are covered in detail: how to present your results in graphical format, how to combine effect-size estimates based on categorical and continuous data, how to use vote-counting procedures to show the statistical significance of results, how to combine effect-size estimates and vote counts, how to deal with fixed- and random-effects models, how to combine dependent or correlated effect-size estimates using multivariate procedures, and how to report the results and conduct the data analysis portion of a meta-analysis.... close xxout; create varout from var; append from var; close var; finish datamod; reset noprint; run datamod; reset print; start ... create covbbout from covbb; append from covbb; close covbbout; bb=covbb*xxa#39; *inv(var) *dd; aa=i (ncol (xx) ) ; aaa= j (ncol (xx) , 1, 1) ; lower =aax *bb+probit ( 0 . ... Reporting the Results of a Meta-Analysis 334 Integrating Results through Meta-Analytic Review Using SAS Software.
Title | : | Integrating Results Through Meta-analytic Review Using SAS Software |
Author | : | Morgan C. Wang, Brad J. Bushman |
Publisher | : | SAS Institute - 1999 |
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