Dynamic Regression Models for Survival Data

Dynamic Regression Models for Survival Data
Author: Torben Martinussen
Publisher: Springer Science & Business Media
Total Pages: 471
Release: 2007-11-24
Genre: Medical
ISBN: 0387339604

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This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the aim of describing time-varying effects of explanatory variables. Use of the suggested models and methods is illustrated on real data examples, using the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets.


Dynamic Regression Models for Survival Data
Language: en
Pages: 471
Authors: Torben Martinussen
Categories: Medical
Type: BOOK - Published: 2007-11-24 - Publisher: Springer Science & Business Media

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This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models wit
Dynamic Prediction in Clinical Survival Analysis
Language: en
Pages: 250
Authors: Hans van Houwelingen
Categories: Mathematics
Type: BOOK - Published: 2011-11-09 - Publisher: CRC Press

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There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascula
Handbook of Survival Analysis
Language: en
Pages: 635
Authors: John P. Klein
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

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Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data
Nonparametric Dynamic Regression Models with Applications to Financial Data Analysis
Language: en
Pages: 96
Authors: Dagang Wang
Categories: Regression analysis
Type: BOOK - Published: 1999 - Publisher:

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Analysis of Survival Data
Language: en
Pages: 216
Authors: D.R. Cox
Categories: Mathematics
Type: BOOK - Published: 1984-06-01 - Publisher: CRC Press

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This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confi