On the Use of Covariates for Rodent Bioassay and Screening Experiments
研究在啮齿动物实验中，利用协变量和随机筛查使不可识别的中间状态患病率变得可识别且易于估计，并应用于肿瘤实验数据。
Consider a three-state compartmental model with an initial, an absorbing and an intermediate state which may or may not be entered before absorption. Observable data are time to absorption and an indication of whether the intermediate state was entered, but not the time of transition. The transition rates characterizing the process are nonidentifiable without simplifying assumptions or additional information on the prevalence function, defined as the time specific proportion of nonabsorbed individuals in the intermediate state. Our approach makes prevalence identifiable and easily estimable through the use of covariates, combined with one or more random screens of the population. The results are illustrated with pathology data from a rodent tumourigenicity experiment involving several random sacrifices.