Methodological advancements in epidemiology, biostatistics, and data science have
strengthened the research world's ability to use data captured from electronic health records …

Survival analysis arises in many fields of study including medicine, biology, engineering,
public health, epidemiology, and economics. This book provides a comprehensive treatment …

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This article deals with the regression analysis of repeated measurements taken at irregular
and possibly subject-specific time points. The proposed semiparametric and nonparametric …

Interval censoring arises frequently in clinical, epidemiological, financial and sociological
studies, where the event or failure of interest is known only to occur within an interval …

We consider estimation in a particular semiparametric regression model for the mean of a
counting process with “panel count” data. The basic model assumption is that the conditional …

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 …

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 …

In analysis of longitudinal data, it is often assumed that observation times are predetermined
and are the same across study subjects. Such an assumption, however, is often violated in …

We study nonparametric likelihood-based estimators of the mean function of counting
processes with panel count data using monotone polynomial splines. The generalized …