NDLI: Meta-Analysis with Binary Data

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Meta-Analysis with Binary Data

Content Provider	Scilit
Author	Chen, Ding-Geng (Din) Peace, Karl E.
Copyright Year	2021
Description	This chapter illustrates meta-analyses of binary response variables by performing a meta-analysis on two binary response efficacy variables defined in the paper using summary information (count data) from the five placebo-controlled trials. A goal of meta-analysis is to combine estimates of treatment effect or effect-sizes (ESs) across similar studies. The chapter discusses meta-analysis methods for binomial data using published results from two clinical trials programs. It reviews some relevant concepts used in both fixed-effects and random-effects meta-analysis models and shows step-by-step calculations in R. The precision in meta-analysis can be addressed in two ways with one as the confidence interval and another as the standard error of the ES. To further investigate the efficacy of lamotrigine in acute bipolar depression, J. R. Geddes et al. conducted a meta-analysis of the five trials using patient-level data. The lamotrigine data set further illustrated the R implementation in package meta. Book Name: Applied Meta-Analysis with R and Stata
Related Links	https://content.taylorfrancis.com/books/download?dac=C2018-0-95041-6&isbn=9780429061240&doi=10.1201/9780429061240-4&format=pdf
DOI	10.1201/9780429061240-4
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-03-19
Access Restriction	Open
Subject Keyword	Book Name: Applied Meta-Analysis with R and Stata Meta Analysis
Content Type	Text
Resource Type	Chapter

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