{"product_id":"applied-meta-analysis-with-r-and-stata-paperback-softback","title":"Applied Meta-Analysis with R and Stata - Paperback \/ softback","description":"\u003cp\u003e\u003cstrong\u003eReview of the First Edition:\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis… A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs.\u003c\/p\u003e\u003cp\u003e—\u003cstrong\u003e\u003cem\u003eJournal of Applied Statistics\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eStatistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R\/Stata. The authors develop analysis step by step using appropriate R\/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R\/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R\/Stata packages and functions.\u003c\/p\u003e\u003cp\u003eWhat’s New in the Second Edition:\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAdds Stata programs along with the R programs for meta-analysis\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eUpdates all the statistical meta-analyses with R\/Stata programs\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eCovers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAdds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eSuitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45566076879086,"sku":"9780367709341","price":77.59,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/applied-meta-analysis-with-r-and-stata-paperback-softback","provider":"Book Land AU","version":"1.0","type":"link"}