Panel data are observations of a continuous-time process at arbitrary times, for example,
visits to a hospital to diagnose disease status. Multi-state models for such data are generally …

Statistical models for social networks as dependent variables must represent the typical
network dependencies between tie variables such as reciprocity, homophily, transitivity, etc …

Abstract flexsurv is an R package for fully-parametric modeling of survival data. Any
parametric time-to-event distribution may be fitted if the user supplies a probability density or …

Praise for the Second Edition" A must-have book for anyone expecting to do research and/or
applications in categorical data analysis."—Statistics in Medicine" It is a total delight reading …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Background. We sought to describe the temporal relationship between vaginal microbiota
and human papillomavirus (HPV) detection. Methods. Thirty-two reproductive-age women …

Functions of matrices have been studied for as long as matrix algebra itself. Indeed, in his
seminal A Memoir on the Theory of Matrices (1858), Cayley investigated the square root of a …

The experience of a patient in a survival study may be modelled as a process with two states
and one possible transition from an “alive” state to a “dead” state. In some studies, however …

This chapter treats statistical methods for network evolution. It is argued that it is most fruitful
to consider models where network evolution is represented as the result of many (usually …