Description: Review 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 Statistics Statistical 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. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable 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.
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EAN: 9780367709341
UPC: 9780367709341
ISBN: 9780367709341
MPN: N/A
Book Title: Applied Meta-Analysis with R and Stata (Chapman &
Item Height: 2.4 cm
Number of Pages: 424 Pages
Language: English
Publication Name: Applied Meta-Analysis with Rand Stata
Publisher: CRC Press LLC
Publication Year: 2022
Subject: Programming Languages / General, Probability & Statistics / General, General, Databases / Data Mining
Item Weight: 29.8 Oz
Type: Textbook
Author: Karl E. Peace, Ding-Geng (Din) Chen
Subject Area: Mathematics, Computers, Medical
Item Length: 9.2 in
Item Width: 6.1 in
Series: Chapman and Hall/Crc Biostatistics Ser.
Format: Trade Paperback