%0 Journal Article
%T Statistical Methods for Evaluating Clinical Therapeutic Effects<br>中医临床疗效评价的统计方法
%A Yi Danhui
%A Li Pengpeng
%A Tong Xiaojun
%A <br>易丹辉
%A 李芃芃
%A 童小军
%J 世界科学技术-中医药现代化
%D 2007
%I 
%X The purpose of evaluating clinical therapeutic effects is to confirm the effectiveness of a therapeutic plan, method, and recipe in treating diseases, in the context of selected patients. In the course of clinical treatment, we may choose some patients groups, and control some influence factors using random grouping. However, the realization of anticipated results has to be determined by a range of mixed factors. As a result, it is difficult to make an evaluation merely using a statistical method with an identical time. Fortunately, we can treat them as decorative factors, i.e., explanation variables, independent variables, or covariates, before making the evaluation using statistical models. As index types that reflect the efficacy of clinical treatment are different, statistical models have to be different too. Logistic model, Cox proportional hazards regression model, longitudinal models, and multilevel linear model are useful statistical approaches for evaluating clinical therapeutic effects.
%K clinical therapeutic effects evaluation
%K logistic model
%K Cox proportional hazards regression model
%K longitudinal models
%K multilevel linear model<br>临床疗效评价
%K Logistic模型
%K Cox比率危险率模型
%K 纵向数据模型
%K 多层线性模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=A9DB1C13C87CE289EA38239A9433C9DC&cid=B5F35A1FC27C1FF7&jid=44257A35316DB0727BA6BC707B9EDAAB&aid=29C0764AAC1C331FEE5A3AC392E3C354&yid=A732AF04DDA03BB3&vid=9CF7A0430CBB2DFD&iid=E158A972A605785F&sid=35FC3610259C2B32&eid=CD775AE9DDBD7B53&journal_id=1674-3849&journal_name=世界科学技术-中医药现代化&referenced_num=1&reference_num=0