Meta-Analysis with R

DOI10.1007/978-3-319-21416-0zbMath1333.92002OpenAlexW4251211582MaRDI QIDQ5501549

Guido Schwarzer, James Carpenter

Publication date: 4 August 2015

Published in: Use R! (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-21416-0

zbMATH Keywords

sensitivitymeta analysisheterogeneityfixed effectsrandom effectsmissing dataROC curvesparse dataspecificitysubgroup analysismeta-regressioneffect measuressmall study effectsBland-Altman plotnetwork meta analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to biology (92-01) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (2)

Selection models with monotone weight functions in meta analysis ⋮ Count outcome meta-analysis for comparing treatments by fusing mixed data sources: comparing interventions using across report information

Uses Software

• R
• R2WinBUGS
• metafor
• metasens
• netmeta
• meta
• gemtc
• rmeta
• mvmeta
• mada
• Meta-Analysis

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