國家衛生研究院 NHRI:Item 3990099045/4475
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    題名: Statistical inference for cancer trials with treatment switching
    作者: Shao, J;Chang, M;Chow, SC
    貢獻者: Division of Biostatistics and Bioinformatics
    摘要: In cancer clinical trials, it is not uncommon that some patients switched their treatments due to lack of efficacy and/or disease progression under ethical consideration. This treatment switch makes it difficult for the evaluation of the efficacy of the treatment under investigation. The current existing methods consider random treatment switch and do not take into consideration of prognosis and/or investigator's assessment that leads to patients' treatment switch. In this paper, we model patients' treatment switching effect in a latent event times model under parametric setting or a latent hazard rate model under the semiparametric proportional hazard model. Statistical inference procedures under both models are provided. A simulation study is performed to investigate the performance of the proposed methods.
    日期: 2005-06
    關聯: Statistics in Medicine. 2005 Jun;24(12):1783-1790.
    Link to: http://dx.doi.org/10.1002/sim.2128
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0277-6715&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000229688600001
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=21044438805
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