Lifetime Data Analysis

, Volume 19, Issue 4, pp 442–462

An introduction to survival models: in honor of Ross Prentice

Article

DOI: 10.1007/s10985-013-9276-2

Cite this article as:
Oakes, D. Lifetime Data Anal (2013) 19: 442. doi:10.1007/s10985-013-9276-2

Abstract

I review some key ideas and models in survival analysis with emphasis on modeling the effects of covariates on survival times. I focus on the proportional hazards model of Cox (J R Stat Soc B 34:187–220, 1972), its extensions and alternatives, including the accelerated life model. I briefly describe some models for competing risks data, multiple and repeated event-time data and multivariate survival data.

Keywords

Cox modelFailure time dataLifetime data analysisRoss Prentice

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Biostatistics and Computational BiologyUniversity of Rochester Medical CenterRochesterUSA