A01=Jerald F. Lawless
A01=Richard J Cook
Absorbing State
Age Group_Uncategorized
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Author_Jerald F. Lawless
Author_Richard J Cook
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Category1=Non-Fiction
Category=JMA
Category=JMB
Category=PBT
Competing Risks Problem
Competing Risks Setting
COP=United States
Cumulative Incidence Function
Delivery_Pre-order
dynamic analysis
eq_isMigrated=2
eq_non-fiction
eq_society-politics
Estimate Covariate Effects
Illness Death Model
intermittent observation
Inverse Probability Weighting
Jerald F. Lawless
Language_English
Life History Analysis
life history data
Life History Processes
Markov processes
Multistate Response Process
PA=Temporarily unavailable
Price_€50 to €100
PS=Active
Pseudo Likelihood Ratio Test
Quality Adjusted Survival Time
Random Censoring
Richard J. Cook
Shunt Insertion
softlaunch
Sojourn Time Distributions
Stratified Random Sampling Plan
Time Dependent Covariates
Time Homogeneous Markov Process
transitional models
Viral Shedding
Working Independence Assumption
Multistate Models for the Analysis of Life History Data
Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. It features: Discusses a wide range of applications of multistate models, Presents methods for both continuously and intermittently observed life history processes, Gives a thorough discussion of conditionally independent censoring and observation processes, Discusses models with random effects and joint models for two or more multistate processes, Discusses and illustrates software for multistate analysis that is available in R, Target audience includes those engaged in research and applications involving multistate models.
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Product Details
- Weight: 940g
- Dimensions: 178 x 254mm
- Publication Date: 04 May 2018
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Language: English
- ISBN13: 9781498715607
About Jerald F. LawlessRichard J Cook
Richard Cook is Canada Research Chair in Statistical Methods for Health Research at the University of Waterloo. He has received the Gold Medal of the Statistical Society of Canada and is a Fellow of the American Statistical Association. He collaborates and consults widely on health research and has given many short courses. He and Dr. Lawless previously coauthored the influential book, The Statistical Analysis of Recurrent Events (Springer, 2007).
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)
