Parametric Regression Models for Continuous Time Removal and Recapture Studies
连续时间移除与再捕获研究的参数回归模型
Summary We use a class of parametric counting process regression models that are commonly employed in the analysis of failure time data to formulate the subject-specific capture probabilities for removal and recapture studies conducted in continuous time. We estimate the regression parameters by modifying the conventional likelihood score function for left-truncated and right-censored data to accommodate an unknown population size and missing covariates on uncaptured…