Applied Meta-Analysis with R and Stata Paperback / softback
by Ding-Geng (Din) (University of North Carolina, USA) Chen, Karl E. (Georgia Southern University,USA) Peace
Part of the Chapman & Hall/CRC Biostatistics Series series
Paperback / softback
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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 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. 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 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.
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:424 pages, 23 Tables, black and white; 63 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:26/09/2022
- Category:
- ISBN:9780367709341
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:424 pages, 23 Tables, black and white; 63 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:26/09/2022
- Category:
- ISBN:9780367709341