In longitudinal studies it is often of interest to investigate how a marker that is repeatedly
measured in time is associated with a time to an event of interest, eg, prostate cancer studies …

Missing data affect nearly every discipline by complicating the statistical analysis of collected
data. But since the 1990s, there have been important developments in the statistical …

Importance Skin cancer is the most common malignancy occurring after organ
transplantation. Although previous research has reported an increased risk of skin cancer in …

The Most Comprehensive Book on the SubjectChronicles the Development of the Weibull
Distribution in Statistical Theory and Applied StatisticsExploring one of the most important …

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and
associations into models for survival data. In its simplest form, frailty is an unobserved …

Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …

This book provides an accessible approach to Bayesian computing and data analysis, with
an emphasis on the interpretation of real data sets. Following in the tradition of the …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

This book reviews the state-of-the-art advances in skew-elliptical distributions and provides
many new developments in a single volume, collecting theoretical results and applications …

Using the clickstream data recorded in Web server log files, the authors develop and
estimate a model of the browsing behavior of visitors to a Web site. Two basic aspects of …