7. Survival Analysis
Published Online: 1 DEC 2010
DOI: 10.1002/9780470740538.ch7
Copyright © 2009 John Wiley & Sons, Ltd
Book Title
Robust Methods in Biostatistics
Additional Information
How to Cite
Heritier, S., Cantoni, E., Copt, S. and Victoria-Feser, M.-P. (2009) Survival Analysis, in Robust Methods in Biostatistics, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470740538.ch7
Publication History
- Published Online: 1 DEC 2010
- Published Print: 17 APR 2009
Book Series:
ISBN Information
Print ISBN: 9780470027264
Online ISBN: 9780470740538
- Summary
- Chapter
Keywords:
- survival analysis;
- survival analysis, central to biostatistics and modeling data - part of work carried out by statisticians with clinicians and medical researchers;
- Cox model and regression quantiles, an innovative technique;
- Cox model - the partial likelihood approach;
- Sandwich formula for asymptotic variance;
- robust estimation and inference in Cox model;
- ARE works in practice and myeloma data;
- robust inference and its current limitations – performance of robust Wald test;
- complete analysis based on a benchmark in survival analysis - veteran's administration lung cancer data;
- structural misspecifications - robust techniques dealing with distributional robustness
Summary
This chapter contains sections titled:
Introduction
The Cox Model
Robust Estimation and Inference in the Cox Model
The Veteran's Administration Lung Cancer Data
Structural Misspecifications
Censored Regression Quantiles