SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model
SPARCC：右删失协变量模型中的半参数稳健估计
In Huntington disease research, a current goal is to understand how symptoms change prior to a clinical diagnosis. Statistically, achieving this goal entails modeling symptom severity as a function of the covariate 'time of diagnosis,' which is often heavily right-censored in observational studies. Existing estimators that handle right-censored covariates, such as the complete case estimator and maximum likelihood estimator, vary in their statistical efficiency and…