Applied Meta-Analysis with R and Stata

Applied Meta-Analysis with R and Stata

AngličtinaMěkká vazbaTisk na objednávku
Chen Ding-Geng (Din)
Taylor & Francis Ltd
EAN: 9780367709341
Tisk na objednávku
Předpokládané dodání v pondělí, 13. ledna 2025
1 343 Kč
Běžná cena: 1 492 Kč
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Podrobné informace

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.

EAN 9780367709341
ISBN 0367709341
Typ produktu Měkká vazba
Vydavatel Taylor & Francis Ltd
Datum vydání 26. září 2022
Stránky 424
Jazyk English
Rozměry 234 x 156
Země United Kingdom
Autoři Chen Ding-Geng (Din); Peace Karl E.
Série Chapman & Hall/CRC Biostatistics Series