Front Cover......Page 1
Dedication......Page 8
Contents......Page 10
List of Figures......Page 18
List of Tables......Page 20
Preface......Page 22
List of Contributors......Page 26
I. Introduction and Overview......Page 30
1. Overview of Recent Developments for Interval-Censored Data......Page 32
2. A Review of Various Models for Interval-Censored Data......Page 58
II. Methodology......Page 72
3. Current Status Data in the Twenty-First Century......Page 74
4. Regression Analysis for Current Status Data......Page 120
5. Statistical Analysis of Dependent Current Status Data......Page 142
6. Bayesian Semiparametric Regression Analysis of Interval- Censored Data with Monotone Splines......Page 178
7. Bayesian Inference of Interval-Censored Survival Data......Page 196
8. Targeted Minimum Loss–Based Estimation of a Causal Effect Using Interval-Censored Time-to-Event Data......Page 226
9. Consistent Variance Estimation in Interval-Censored Data......Page 262
III. Applications and Related Software......Page 298
10. Bias Assessment in Progression-Free Survival Analysis......Page 300
11. Bias and Its Remedy in Interval-Censored Time-to-Event Applications......Page 340
12. Adaptive Decision Making Based on Interval-Censored Data in a Clinical Trial to Optimize Rapid Treatment of Stroke......Page 358
13. Practical Issues on Using Weighted Logrank Tests......Page 374
14. glrt – New R Package for Analyzing Interval-Censored Survival Data......Page 406