ON SEQUENTIAL DESIGN BASED ON MARKOV CHAINS FOR SELECTING ONE OF TWO TREATMENTS IN CLINICAL TRIALS WITH DELAYED OBSERVATIONS

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概要

• 論文の詳細を見る

• A truncated sequential design for selecting the better of two medical treatments is constructed by using a fundamental relation of Markov chains, with delayed observations based on a time lag of response time. The design is practical and applicable to a wide range of sequential clinical trials. The iterative formula of Markov chains is based on the trinomial random walk on a lattice diagram which adopts the unitied and the tied pairs on the double-dichotomous responses. The study is to determine an optimum sequential design based on the evaluation of minimum expected loss.

• 日本計算機統計学会の論文

著者

• Douke Hideyuki

  Faculty Of Engineering Kyushu Tokai University

関連論文

• ON SEQUENTIAL DESIGN BASED ON MARKOV CHAINS FOR SELECTING ONE OF TWO TREATMENTS IN CLINICAL TRIALS WITH DELAYED OBSERVATIONS

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