The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully.

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the

Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitu

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life e

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