Chuang C
Biostatistics Unit, Upjohn Company, Kalamazoo, MI 49001.
Stat Med. 1987 Jul-Aug;6(5):583-90. doi: 10.1002/sim.4780060507.
For analysis of data from a titration study, this paper adopts the idea of a life table analysis and utilizes a logistic linear dose-response model. The procedure uses iterated reweighted least-squares to provide parameter estimates. Computation of the asymptotic covariance of the life-table estimates of the response rates involves Greenwood's formula and a conditioning argument. A special case consists of examination of the covariance structure when no dropouts took place. Data from a titration study that investigated the efficacy of an anti-hypertensive compound illustrate the procedure.
为了分析滴定研究中的数据，本文采用生存表分析的思路，并使用逻辑线性剂量反应模型。该程序采用迭代加权最小二乘法来提供参数估计。响应率的生存表估计值的渐近协方差的计算涉及格林伍德公式和一个条件论证。一种特殊情况是在没有失访发生时检查协方差结构。一项研究抗高血压化合物疗效的滴定研究的数据说明了该程序。
