Graphical Methods For Assessing Violations Of The Proportional Hazards Assumption In Cox Regression.
Published 1995 · Medicine, Mathematics
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A major assumption of the Cox proportional hazards model is that the effect of a given covariate does not change over time. If this assumption is violated, the simple Cox model is invalid, and more sophisticated analyses are required. This paper describes eight graphical methods for detecting violations of the proportional hazards assumption and demonstrates each on three published datasets with a single binary covariate. I discuss the relative merits of these methods. Smoothed plots of the scaled Schoenfeld residuals are recommended for assessing PH violations because they provide precise usable information about the time dependence of the covariate effects.
This paper references
Regression Models and Non‐Proportional Hazards in the Analysis of Breast Cancer Survival
S. Gore (1984)
A Two‐Step Regression Model for Hazard Functions
J. Anderson (1982)
‘ Verifying assumptions of the Cox proportional hazards model ’
E. L. Kaplan
The problem of a covariate-time qualitative interaction in a survival study.
J. O'Quigley (1991)
Aalen Plots under Proportional Hazards
R. Henderson (1991)
Contribution to the discussion on the paper by DR Cox, Regression models and life-tables
N. Breslow (1972)
Comparing survival distributions: a review for nonstatisticians. I.
L. Muenz (1983)
Modified KolmogorovSmirnov test procedures with application to arbitrarily rightcensored data ’
T. R. Fleming (1980)
Spline-based tests in survival analysis.
R. Gray (1994)
A Graphical Method for Assessing Goodness of Fit in Cox's Proportional Hazards Model
E. Arjas (1988)
Graphical comparison of cumulative hazards for two populations
Dorata M. Dabrowska (1989)
Testing the proportional hazards regression model against some general alternatives.
John O'Quigley (1984)
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