Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure
Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure
This paper examines the accelerated failure time competing risks model with missing cause of failure using the monotone class rank-based estimating equations approach. We handle the non-smoothness of the rank-based estimating equations using a kernel smoothed estimation method, and estimate the unknown selection probability and the conditional expectation by non-parametric …