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298 – Advances in Bayesian Clinical Trial Design

Bayesian Modeling of Crossover Studies of Rare Diseases Including Escape Phase

Sponsor: Biopharmaceutical Section
Keywords: Bayesian, Crossover, Early-escape, Rare disease

Lili Ding

Cincinnati Children's Hospital Medical Center

Bin Huang

Cincinnati Children's Hospital Medical Center

Yongchao Liu

University of Cincinnati

Early-escape design (Amery and Dony 1975; Temple 1994) limits patient's exposure to ineffective therapy by allowing patients escape from the randomized treatment or taking rescue medications. Typically, the escape rate or time to escape or the amount of rescue mediation is used as the study outcome, and the treatment effect is evaluated using only data prior to escape. However, data after escape phase can provide useful information; ignoring data after escape costs power that are valuable for studies of rare diseases or studies constrained by small sample size. Motivated by a recently completed crossover study of rare disease with early escape design, we propose a Bayesian approach that utilizes data from both before and after escape for evaluating treatment effect.

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