What question did this study set out to answer?

This research aims to understand the institutional variation in treatment effects using a Bayesian approach.

March 1, 1994Biometrics

A Bayesian Analysis of Institutional Effects in a Multicenter Cancer Clinical Trial

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Bayesian analysis reveals significant institutional effects on treatment outcomes in a lung cancer trial, suggesting further investigation is needed.

This research aims to understand the institutional variation in treatment effects using a Bayesian approach.
Utilized a hierarchical structure to model institutional effects in a proportional hazards model.
Applied Gibbs sampling to calculate posterior distributions.
Analyzed data from a lung cancer trial by the Eastern Cooperative Oncology Group.
Identified substantial variation in treatment effects across different institutions.
Reasons for institutional variation were discussed but warrant further investigation.
Highlights the importance of detailed data examination from institutions with extreme treatment effects.

Robert J. Gray (1994) studied this question.

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Bayesian analysis reveals significant institutional effects on treatment outcomes in a lung cancer trial, suggesting further investigation is needed.