RELATIVE EFFICIENCY OF THE LOG RANK TEST WITHIN A MULTIPLICATIVE INTENSITY MODEL

• 成果类型: Article
• 署名作者: SLUD, E
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• 发表日期: 1991
• 页码: 621630
• 关键词: regression-models; likelihood

摘要

For large-sample clinical trials with independent individuals randomly allocated to two treatment groups, in which survival times follow a log linear multiplicative intensity model with treatment group as one covariate, this paper calculates the asymptotic relative efficiency of the log rank test for treatment effect as compared with the optimal score test. The method is to exhibit the failure hazard intensity, not of proportional hazards form, obtained by ignoring all covariates other than treatment group. The efficiency formulate are illustrated in two examples, and estimation from data of the loss of efficiency is illustrated for two clinical trial datasets.