{"product_id":"applied-meta-analysis-with-r-and-stata-9780367709341","title":"Applied Meta-Analysis with R and Stata","description":"\u003cp\u003e • Author(s): Ding-Geng Chen\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Data Science - Data Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eReview of the First Edition: \u003c\/strong\u003e\u003c\/p\u003e\u003ci\u003e \u003c\/i\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\u003ci\u003e \u003c\/i\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\u003cb\u003e \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eWhat's New in the Second Edition: \u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAdds Stata programs along with the R programs for meta-analysis\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUpdates all the statistical meta-analyses with R\/Stata programs\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\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 \u003cp\u003e \u003c\/p\u003e\n\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 \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\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":"Paperback","offer_id":45242025214103,"sku":"9780367709341","price":4411.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367709341.webp?v=1769230626","url":"https:\/\/atlanticbooks.com\/products\/applied-meta-analysis-with-r-and-stata-9780367709341","provider":"Atlantic Books","version":"1.0","type":"link"}