バイオメトリクスと生物統計学ジャーナル

Nonparametric Treatment Comparison for Current Status Data

Abstract

Yanmin Li, Adam Shchy and Jianguo Sun

Current status data occur in many studies and in this case, each subject is observed only once [3,10]. Furthermore, the distributions of observation times may be different for subjects in different treatment groups. This paper focuses on current status recurrent event data that concern occurrence rates of certain recurrent events such as disease infections and discuss nonparmametric comparison of several treatment groups. For the problem, two new tests procedures are proposed and a simulation study is conducted and shows that they are more efficient than the existing ones. An illustrative example on lung tumors is provided.