𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Meta-Analysis with R

✍ Scribed by Carpenter, James R.;Rücker, Gerta;Schwarzer, Guido


Publisher
Springer International Publishing
Year
2015
Tongue
English
Series
Use R!
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Table of Contents


Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accuracy Studies.- Further Information on R.- Index.

✦ Subjects


Biostatistics--methods;Medical statistics;Méta-analyse;Meta-analysis;Meta-Analysis as Topic;R (Computer program language);R (Langage de programmation);R (logiciel);Software;Statistiques médicales;Méta-analyse;Statistiques médicales;Biostatistics -- methods


πŸ“œ SIMILAR VOLUMES


Meta-analysis with R
✍ Carpenter, James R.;RΓΌcker, Gerta;Schwarzer, Guido πŸ“‚ Library πŸ“… 2015 πŸ› Springer 🌐 English
Meta-Analysis with R
✍ Guido Schwarzer, James R. Carpenter, Gerta RΓΌcker (auth.) πŸ“‚ Library πŸ“… 2015 πŸ› Springer International Publishing 🌐 English

<p><p>This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key

Applied Meta-Analysis with R
✍ Ding-Geng (Din) Chen, Karl E. Peace πŸ“‚ Library πŸ“… 2013 πŸ› Chapman & Hall / CRC Press 🌐 English

<P>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, <STRONG>Applied Meta-Analysis with R</STRONG> shows how to implement statistical

Applied Meta-Analysis with R
✍ Ding-Geng (Din) Chen, Karl E. Peace πŸ“‚ Library πŸ“… 2013 πŸ› Chapman and Hall/CRC 🌐 English

<P>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, <STRONG>Applied Meta-Analysis with R</STRONG> shows how to implement statistical

Applied Meta-Analysis with R and Stata
✍ Ding-Geng (Din) Chen, Karl E. Peace πŸ“‚ Library πŸ“… 2021 πŸ› Chapman and Hall/CRC 🌐 English

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;

Doing Meta-Analysis with R: A Hands-On G
✍ Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert πŸ“‚ Library πŸ“… 2021 πŸ› Chapman and Hall/CRC 🌐 English

<p><strong>Doing Meta-Analysis with R: A Hands-On Guide</strong> serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup an