"In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including …
by Collett, D.
fromTexts in statistical science
Survival analysis is an active field and many advances, particularly in software, have emerged over the last eight years. Modelling Survival Data in Medical Research, Second Edition updates and expands on the highly successful first edition, which was praised for its clarity, co…
by Collett, D.
fromTexts in statistical science
Provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and the analysis of interval-c…
The starting point of the text is a basic understanding of survival analysis and how it is done in Stata. For instance, a reader is assumed to know how to plot a Kaplan-Meier curve and fit a Cox model. The aim of the text is for researchers to build on the illustrations and exam…
This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survi…