What question did this study set out to answer?

To evaluate and compare statistical strategies for selecting between two treatments when patients are stratified into multiple categories with differing expected treatment responses.

January 1, 1979Canadian Journal of Statistics

The design of a clinical trial with several patient categories

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Authors

ADAllan DonnerUniversity Hospitals Seidman Cancer Center

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Implication

Methodological analysis demonstrates optimal sample sizes across treatment selection strategies for stratified patient cohorts, highlighting conditions where Bayesian methods outperform pooling.

Key Points

To evaluate and compare statistical strategies for selecting between two treatments when patients are stratified into multiple categories with differing expected treatment responses.
Evaluated three decision strategies across k ≥ 2 patient categories: k independent decisions, a single overall decision using simple data pooling, and a Bayesian decision strategy.
Calculated optimal clinical trial sample sizes for each decision-making framework.
Delineated explicit theoretical conditions under which independent decisions, simple pooling, or the Bayes strategy is optimal.
Established sample size optimization criteria to maximize decision accuracy and efficiency across categorized clinical trial populations.

Cite This Study

Allan Donner (1979) studied this question.

synapsesocial.com/papers/6a1c8c1e4d97451bbd2fcc23 https://doi.org/10.2307/3315116

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Implication

Methodological analysis demonstrates optimal sample sizes across treatment selection strategies for stratified patient cohorts, highlighting conditions where Bayesian methods outperform pooling.

The design of a clinical trial with several patient categories

Discussion

Member takes

Implication

Key Points

Cite This Study

The design of a clinical trial with several patient categories

Discussion

Member takes

Implication

Key Points

Cite This Study

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