Current Status Data in the Twenty-First Century: Some Interesting Developments - Interval-Censored-Time-to-Event Data: Methods and Applications - page 45

Chapter 3

Current Status Data in the

Twenty-First Century: Some

Interesting Developments

Moulinath Banerjee

Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA

3.1 Introduction :::::::::::::::::::::::::::::::::::::::::::::::::::::: 45

3.2 Likelihood-Based Inference for Current Status Data :::::::::::: 47

3.3 More General Forms of Interval-Censoring :::::::::::::::::::::: 58

3.4 Current Status Data with Competing Risks ::::::::::::::::::::: 64

3.5 Smoothed Estimators for Current Status Data :::::::::::::::::: 71

3.6 Inference for Current Status Data on a Grid :::::::::::::::::::: 77

3.7 Current Status Data with Outcome Misclassication ::::::::::: 79

3.8 Semiparametric Models and Other Work :::::::::::::::::::::::: 80

Bibliography :::::::::::::::::::::::::::::::::::::::::::::::::::::: 83

3.1 Introduction

This chapter aims to revisit some of the important advances in the analysis

of current status data over the past decade. It is not my intention here to

be exhaustive because interest (and research) in current status has grown

45