Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of Vioxx

DOI10.1007/s11336-016-9507-zzbMath1402.62290OpenAlexW2464771754WikidataQ36070087 ScholiaQ36070087MaRDI QIDQ1695640

Wei Wang, David Madigan, Michael E. Sobel

Publication date: 7 February 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-016-9507-z

zbMATH Keywords

causal inferencemeta-analysisrandomized experimentmulti-level modelsindividual participant dataresearch synthesis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population

Uses Software

• survival

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• Evaluating Kindergarten Retention Policy
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