[演講公告] 5/7 統計所專題演講
交通大學、清華大學 統計學研究所 專題演講
題 目：Inference on Treatment Effects for Targeted Clinical Trials under
Enrichment Design
主講人：林志榮教授 (長庚大學 臨床資訊與醫學統計研究中心)
時 間：99年5月7日(星期五)上午10:40-11:30
(上午10:20-10:40茶會於交大統計所429室舉行)
地 點：交大綜合一館427室
Abstract
After completion of a human genome project, the disease targets at molecular
level can be identified. As a result, treatment modality for molecular
targets can be developed. In practice, targeted clinical trials are usually
conducted for evaluation of the possibility and feasibility of the
individualized treatment of patients. However, the accuracy of diagnostic
devices for identification of such molecular targets is usually not perfect.
Therefore, some of the patients enrolled in targeted clinical trials with a
positive result by the diagnostic device might not have the specific
molecular targets and hence the treatment effects of the targeted drugs
estimated from targeted clinical trials could be biased for the patient
population truly with the molecular targets. Under an enrichment design for
targeted clinical trials, we propose to use the EM algorithm and bootstrap
method for obtaining the inference of the treatment effects of the targeted
drugs in the patient population truly with molecular targets. A simulation
study was conducted to empirically investigate the bias and variability of
the proposed estimator and the size and power of the proposed testing method.
A practical example illustrates the utility of the proposed method.
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