This book focuses on performing hands-on meta-analysis using
MetaXL, a free add-on to MS Excel. The illustrative examples are
taken mainly from medical and health sciences studies, but the
generic methods can be used to perform meta-analysis on data from
any other discipline. The book adopts a step-by-step approach to
perform meta-analyses and interpret the results. Stata codes for
meta-analyses are also provided. All popularly used meta-analytic
methods and models - such as the fixed effect model, random effects
model, inverse variance heterogeneity model, and quality effect
model - are used to find the confidence interval for the effect
size measure of independent primary studies and the pooled study.
In addition to the commonly used meta-analytic methods for various
effect size measures, the book includes special topics such as
meta-regression, dose-response meta-analysis, and publication bias.
The main attraction for readers is the book's simplicity and
straightforwardness in conducting actual meta-analysis using
MetaXL. Researchers would easily find everything on meta-analysis
of any particular effect size in one specific chapter once they
could determine the underlying effect measure. Readers will be able
to see the results under different models and also will be able to
select the correct model to obtain accurate results.
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