{"product_id":"applied-meta-analysis-with-r-and-stata-chapman-hallcrc-biostatistics-series-0367183838","title":"Applied Meta-Analysis with R and Stata (Chapman \u0026 Hall\/CRC Biostatistics Series)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0367183838\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Chen, Ding-Geng (Din)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eReview of the First Edition:The 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.-Journal of Applied StatisticsStatistical 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.Whats New in the Second Edition:Adds Stata programs along with the R programs for meta-analysisUpdates all the statistical meta-analyses with R\/Stata programsCovers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SSAdds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MASuitable 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":"Mia Karts","offers":[{"title":"Default Title","offer_id":51813037867296,"sku":"NEW0367183838","price":208.01,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61EPgYJaKPL.jpg?v=1781031201","url":"https:\/\/miakarts.com\/products\/applied-meta-analysis-with-r-and-stata-chapman-hallcrc-biostatistics-series-0367183838","provider":"Miakarts Books","version":"1.0","type":"link"}