Peace Karl E. (Georgia Southern University Usa)
Peace Karl E. (Georgia Southern University Usa) - Applied Meta - Analysis With R And Stata - Hardcover
Peace Karl E. (Georgia Southern University Usa) - Applied Meta - Analysis With R And Stata - Hardcover
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Binding: Hardcover
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 (M a) 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 M a meta - regression M a with rare - event and M a - IPD vs M a - SS Adds five new chapters on multivariate M a publication bias missing data in M a M a in evaluating diagnostic accuracy and network M a 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.
Title: Applied Meta - Analysis With R And Stata
Author(s): Peace Karl E. (Georgia Southern University Usa)
Publisher: Taylor & Francis Ltd
Barcode: 9780367183837
Pages: 424 Pages, 23 Tables, Black And White; 63 Illustrations, Black And White
Publication Date: 3/31/2021
Series: Chapman & Hall/CRC Biostatistics Series
Category: Mathematical & Statistical Software
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 (M a) 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 M a meta - regression M a with rare - event and M a - IPD vs M a - SS Adds five new chapters on multivariate M a publication bias missing data in M a M a in evaluating diagnostic accuracy and network M a 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.
Title: Applied Meta - Analysis With R And Stata
Author(s): Peace Karl E. (Georgia Southern University Usa)
Publisher: Taylor & Francis Ltd
Barcode: 9780367183837
Pages: 424 Pages, 23 Tables, Black And White; 63 Illustrations, Black And White
Publication Date: 3/31/2021
Series: Chapman & Hall/CRC Biostatistics Series
Category: Mathematical & Statistical Software
