國家衛生研究院 NHRI:Item 3990099045/1814
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    题名: Bayes discrete sequential boundaries for clinical trials
    作者: Hsiao, CF;Clayton, MK
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: In clinical trials, the use of sequential stopping rules or stopping boundaries has been advocated from both frequentist and Bayesian perspectives. Elsewhere, we have shown that a large family of untruncated stopping boundaries that are of interest from a frequentist point of view are also Bayes optimal boundaries. In this paper we examine a specific class of truncated rules, focusing especially on those related to work of (1). We show that it is possible to choose a cost and loss structure such that stopping boundaries of the type discussed by Lan and DeMets are also optimal Bayesian boundaries.
    关键词: Statistics & Probability
    日期: 2001
    關聯: Communications in Statistics: Theory and Methods. 2001;30(7):1381-1394.
    Link to: http://dx.doi.org/10.1081/STA-100104751
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0361-0926&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000170493600009
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0034892082
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