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

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

Journal of the Japanese Society of Computational Statistics   [巻号一覧]

Journal of the Japanese Society of Computational Statistics 7(1), 89-103, 1994-12  [この号の目次]

日本計算機統計学会

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各種コード

  • NII論文ID(NAID) :
    110001235614
  • NII書誌ID(NCID) :
    AA10823693
  • 本文言語コード :
    ENG
  • ISSN :
    09152350
  • 収録DB :
    NII-ELS