MetaAnalysis in Stata: An Updated Collection from the Stata Journal, Second Edition 

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Official metaanalysis commands are available in Stata 16. Stata 16 contains a suite of commands for performing metaanalysis. If you are using the official metaanalysis commands in Stata 16, the collection of Stata Journal articles is still valuable because the collection contains information about metaanalysis, and not just information on the communitycontributed metaanalysis commands. We gratefully acknowledge the contributions of the Stata developers who wrote the communitycontributed commands. 

Comment from the Stata technical groupMetaanalysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and to quantify the uncertainty of that estimate. Stata has some of the best statistical tools available for doing metaanalysis. The unusual thing about these tools is that none of them are part of official Stata. They are all created by and documented by experts in the broader research community who also happen to be proficient Stata developers. Editors Tom Palmer and Jonathan Sterne show how each of the articles in this collection relates to others and how each fits in the overall literature of metaanalysis. For the first edition, Sterne convinced over half the authors to update their software and articles for the collection. In this new edition, Palmer and Sterne have substantially expanded the scope of the collection to cover in more depth many contemporary advances that will help keep the reader up to date. The second edition retains its original topicspecific sections devoted to the fundamentals of metaanalysis: fitting models, metaregression, and graphical and analytic tools for detecting bias. It also retains a section devoted to advanced methods. Readers of the first edition will find new articles in these sections, in particular ones that take advantage of major changes that occurred in Stata since the first edition, such as the introduction of the gsem command. This edition also adds three new topicspecific sections for multivariate or multiple outcomes metaanalysis, individual participant data (IPD) metaanalysis, and network metaanalysis. The addition of these sections gives readers access to new commands that address recent methodological developments in the field. The new edition adds 11 articles to the original collection of 16 articles. The articles cover topics ranging from standard and cumulative metaanalysis and forest plots to contourenhanced funnel plots and nonparametric analysis of publication bias. In their articles, the authors present conceptual overviews of the techniques, thorough explanations, and detailed descriptions and syntax of new commands. They also provide examples using realworld data. In short, this collection is a complete introduction and reference for performing metaanalyses in Stata. 

About the editorsTom M. Palmer is a lecturer in statistics in the Department of Mathematics and Statistics at Lancaster University, UK. He is the author of the confunnel command for contourenhanced funnel plots. His research focuses on statistical methodology for epidemiological studies, including Mendelian randomization studies. He is also the author of several other Stata commands, including bpbounds, the reffadjust package, and the winbugsfromstata package. Jonathan A. C. Sterne is Professor of Medical Statistics and Epidemiology in the School of Social and Community Medicine, University of Bristol, UK. His research interests include methods for systematic reviews and metaanalyses, the clinical epidemiology of HIV and AIDS in the era of effective therapy, statistical methods for epidemiology, and the epidemiology of asthma and allergic diseases. 

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