Multistate Models for the Analysis of Life History Data (PDF)
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This book will describe a variety of statistical models useful for the analysis of data arising from life history processes. Particular attention will be paid to models useful for the study of chronic diseases to better understand the dynamics of the disease process, the effects of fixed and time-varying covariates, and the use of models for prediction. Observation of the full course of processes for individuals in a study is typically incomplete, so methods of analysis must address this. This book will cover methods for analysis when process data are right -censored, left-truncated or intervalcensored.
Jerald Lawless is Distinguished Professor Emeritus at the University of Waterloo. He is a Fellow of the Royal Society of Canada, a Gold Medal recipient of the Statistical Society of Canada and Fellow of the American Statistical Association. He is a past editor of Technometrics and has collaborated and consulted in numerous areas. He has presented many short courses, with Dr. Cook and individually.
"The authors of the book are internationally renowned experts in the field of multi-state modeling and have written an extremely clear and comprehensive book on the topic that covers many different aspects, from the fundamental theory to the practical side of analyzing data and interpreting results. The examples are well chosen to represent the most common types of multi-state processes that public health researchers could encounter. The inclusion of software code to illustrate how the models can be fit and interpreted is especially helpful to readers." (Mimi Kim, Albert Einstein College of Medicine)
- Autoren: Richard J Cook , Jerald F. Lawless
- 2018, 1. Auflage, 854 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1498715613
- ISBN-13: 9781498715614
- Erscheinungsdatum: 15.05.2018
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- Größe: 6.13 MB
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