Semiparametric imputation-based inference for the additive mean residual life model with missing censoring indicators

This paper considers the additive mean residual life model for survival data with missing censoring indicators. Using nonparametric techniques, an imputation-based estimating equation method is developed. The asymptotic properties of the proposed estimators are established. Finally, the finite sample performance of the proposed estimation methods is evaluated via simulation studies and a real data application.