Interval-Censored Time-to-Event Data

A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. Top researchers from academia, biopharmaceutical industries, and government agencies show how up-to-date statistical methods are used in biopharmaceutical and public health applications. The book presents data from actual clinical trials and biomedical research, including breast cancer and HIV data sets. It also offers easy access to computational methods and R software packages.