A general framework for using two-stage meta-analysis with individual participant data to predict individualized treatment effects

Abstract excerpt

<title>Abstract</title> <p>Background A key application of an individual participant data meta-analysis (IPD-MA) of randomized controlled trials is to predict individualized treatment effects (ITEs). A two-stage approach is often employed, for example when data from trials reside in different servers; however, analyses are typically limited to regression-based models. We hereby present a general framework for tw...

Topics

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• Genetic Predisposition to Disease
• Meta-Analysis as Topic
• Patients
• Randomized Controlled Trials as Topic
• Regression Analysis
• Reproducibility of Results
• Risk Factors
• Treatment Outcome

Identifiers and source

Literature Corpus work

5b61b7c3-10b4-5fb5-9569-e38defa4b51a

DOI

10.21203/rs.3.rs-9422615/v1