Derives exact operating characteristic corrections and a numerical search over sample sizes to obtain optimal two-stage Bayes factor designs for two-arm binary-endpoint phase II trials that minimize expected sample size under the null.
Nature Neuroscience 2021 24:4 , volume =
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The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.
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Optimal sequential two-stage Bayes Factor Design for two-arm clinical Phase II Trials with binary Endpoints
Derives exact operating characteristic corrections and a numerical search over sample sizes to obtain optimal two-stage Bayes factor designs for two-arm binary-endpoint phase II trials that minimize expected sample size under the null.
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Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments
The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.