This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze...
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provide...
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze...
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provide...
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.
Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks...
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tool...
Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break- downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed...
Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time poin...
The first comprehensive examination of an emerging topic, this text complements existing resources on recurrent event data, and includes detailed treatment of regression, parametric and non-parametric methodologies, and mathematical calculations.
The first comprehensive examination of an emerging topic, this text complements existing resources on recurrent event data, and includes detailed trea...
