| Document Type
|
:
|
BL
|
| Record Number
|
:
|
614829
|
| Doc. No
|
:
|
dltt
|
| Main Entry
|
:
|
Chen, Ding-Geng.
|
| Title & Author
|
:
|
Applied Meta-Analysis with R
|
| Publication Statement
|
:
|
Hoboken :: CRC Press, Taylor & Francis,, 2013.
|
| Series Statement
|
:
|
Chapman & Hall/CRC Biostatistics Series
|
| Page. NO
|
:
|
1 online resource (331 p.)
|
| ISBN
|
:
|
9781466506008
|
|
|
:
|
: 1466506008
|
|
|
:
|
: 9781466505995
|
| Notes
|
:
|
Description based upon print version of record.
|
| Contents
|
:
|
1. Introduction to R -- 2. Research protocol for meta-analyses -- 3. Fixed-effects and random-effects in meta-analysis -- 4. Meta-analysis with binary data -- 5. Meta-analysis for continuous data -- 6. Heterogeneity in meta-analysis -- Meta-regression -- 8. Individual-patient level data analysis versus meta-analysis -- 9. Meta-analysis for rare events -- 10. Other R packages for meta-analysis.
|
| Abstract
|
:
|
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 statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data a
|
| Subject
|
:
|
Meta-analysis.
|
| Subject
|
:
|
R (Computer program language)
|
| Parallel Title
|
:
|
Meta Analysis with R
|