ON SEQUENTIAL DESIGN BASED ON MARKOV CHAINS FOR SELECTING ONE OF TWO TREATMENTS IN CLINICAL TRIALS WITH DELAYED OBSERVATIONS
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- Douke Hideyuki
- Faculty of Engineering, Kyushu Tokai University
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抄録
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.
収録刊行物
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- Journal of the Japanese Society of Computational Statistics
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Journal of the Japanese Society of Computational Statistics 7 (1), 89-103, 1994-12
日本計算機統計学会
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詳細情報
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- CRID
- 1570854176930626304
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- NII論文ID
- 110001235614
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- NII書誌ID
- AA10823693
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- ISSN
- 09152350
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- 本文言語コード
- en
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- データソース種別
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- CiNii Articles