Regression methods for gap time hazard functions of sequentially ordered multivariate failure time data
顺序多元失效时间数据的间隔时间风险回归
Sequentially ordered multivariate failure time data are often observed in biomedical studies and inter‐event, or gap, times are often of interest. Generally, standard hazard regression methods cannot be applied to the gap times because of identifiability issues and induced dependent censoring. We propose estimating equations for fitting proportional hazards regression models to the gap times. Model parameters are shown to be consistent and asymptotically normal. Simulation…