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The Cox Model and Its ApplicationsIntroduction: Several Classical Data Examples for Survival Analysis

The Cox Model and Its Applications: Introduction: Several Classical Data Examples for Survival... [The proportional hazards (PH) model was proposed by Sir David Cox just over 40 years ago (Cox 1972). Today, the Cox modelCox model is the most important model in survival analysisSurvival analysis, reliabilityReliability and quality of life research, epidemiology, clinical trialsClinical trials, and biomedical studies. There have also been tremendous applications of the Cox model in demography Demography, econometrics Econometrics, finance, pharmacology, biology, gerontology Gerontology, insurance, etc. These have marked the great success of the Cox PH model which further induced extended studies of competitive survival regression models and the corresponding development of semiparametric estimation theory, likelihood principle, counting process modeling and applications.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

The Cox Model and Its ApplicationsIntroduction: Several Classical Data Examples for Survival Analysis

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Publisher
Springer Berlin Heidelberg
Copyright
© The Author(s) 2016
ISBN
978-3-662-49331-1
Pages
1 –8
DOI
10.1007/978-3-662-49332-8_1
Publisher site
See Chapter on Publisher Site

Abstract

[The proportional hazards (PH) model was proposed by Sir David Cox just over 40 years ago (Cox 1972). Today, the Cox modelCox model is the most important model in survival analysisSurvival analysis, reliabilityReliability and quality of life research, epidemiology, clinical trialsClinical trials, and biomedical studies. There have also been tremendous applications of the Cox model in demography Demography, econometrics Econometrics, finance, pharmacology, biology, gerontology Gerontology, insurance, etc. These have marked the great success of the Cox PH model which further induced extended studies of competitive survival regression models and the corresponding development of semiparametric estimation theory, likelihood principle, counting process modeling and applications.]

Published: Apr 12, 2016

Keywords: Functional Independence Measure; Lifetime Distribution; Karnofsky Index; Modify Barthel Index; Nonproportional Hazard

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