國家衛生研究院 NHRI:Item 3990099045/1814
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 12145/12927 (94%)
Visitors : 914397      Online Users : 1362
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/1814


    Title: Bayes discrete sequential boundaries for clinical trials
    Authors: Hsiao, CF;Clayton, MK
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: 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.
    Keywords: Statistics & Probability
    Date: 2001
    Relation: 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
    Appears in Collections:[Chin-Fu Hsiao] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    000170493600009.pdf190KbAdobe PDF341View/Open


    All items in NHRI are protected by copyright, with all rights reserved.

    Related Items in TAIR

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback