Introduction and Overview Overview of Recent Developments for Interval-Censored Data, Jianguo Sun and Junlong Li A Review of Various Models for Interval-Censored Data, Qiqing Yu and Yuting Hsu Methodology Current Status Data in the Twenty-First Century, Moulinath Banerjee Regression Analysis for Current Status Data, Bin Zhang Statistical Analysis of Dependent Current Status Data, Yang-Jin Kim, Jinheum Kim, Chung Mo Nam, and Youn Nam Kim Bayesian Semiparametric Regression Analysis of Interval-Censored Data with Monotone Splines, Lianming Wang, Xiaoyan (Iris) Lin, and Bo Cai Bayesian Inference of Interval-Censored Survival Data, Xiaojing Wang, Arijit Sinha, Jun Yan, and Ming-Hui Chen Targeted Minimum Loss-Based Estimation of a Causal Effect Using Interval-Censored Time-to-Event Data, Marco Carone, Maya Petersen, and Mark J. van der Laan Consistent Variance Estimation in Interval-Censored Data, Jian Huang, Ying Zhang, and Lei Hua Applications and Related Software Bias Assessment in Progression-Free Survival Analysis, Chen Hu, Kalyanee Viraswami-Appanna, and Bharani Dharan Bias and Its Remedy in Interval-Censored Time-to-Event Applications, Ding-Geng (Din) Chen, Lili Yu, Karl E. Peace, and Jianguo Sun Adaptive Decision Making Based on Interval-Censored Data in a Clinical Trial to Optimize Rapid Treatment of Stroke, Peter F. Thall, Hoang Q. Nguyen, and Aniko Szabo Practical Issues on Using Weighted Logrank Tests, Michael P. Fay and Sally A. Hunsberger glrt - New R Package for Analyzing Interval-Censored Survival Data, Qiang Zhao Index A Bibliography appears at the end of each chapter.