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

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Abstract

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.

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Details 詳細情報について

  • CRID
    1570854176930626304
  • NII Article ID
    110001235614
  • NII Book ID
    AA10823693
  • ISSN
    09152350
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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