Applied Meta-Analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
Applied Meta-Analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistica…
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this boo…
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
"Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this bo…
Applied meta-analysis with R
by Peace, Karl E., Chen, Ding-Geng
fromChapman & Hall/CRC biostatistics series
"Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this bo…
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how the…
"Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-eve…