A Log Logistic Model for Survival Time with Covariates
研究了一个生存时间模型，其中解释变量的效应乘性地作用于对数逻辑斯蒂分布的中位数，并比较了两种观测方案（固定时间后存活比例分析和所有失效或删失时间分析）下回归参数估计量的相对效率。
A model for survival time where the effect of the explanatory variables is multiplicative on the median of a basic log logistic distribution is considered. Two different schemes of observation, namely the binary analysis of the proportion of survivors after a fixed time to and the analysis of all identified failure or censored times, are considered. Some results concerning the relative efficiency of estimators of the regression parameters under the two analyses are obtained.