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Event history graphs for censored survival data
Author(s) -
Dubin Joel A.,
Müller HansGeorg,
Wang JaneLing
Publication year - 2001
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.888
Subject(s) - covariate , estimator , statistics , survival analysis , survival function , smoothing , mathematics , proportional hazards model , function (biology) , econometrics , computer science , evolutionary biology , biology
A compact graphical device for combining survival and time‐varying covariate information is proposed. The proposed graph contains the Kaplan–Meier estimator for right‐censored data and a simultaneous display of the behaviour of time‐dependent covariate(s) and the lifetime for each subject in the sample. The observed levels of time‐dependent covariates are possibly subjected to an initial dimension reduction or smoothing step to produce a continuous covariate function. Values of this function are plotted on a horizontal bar for the length of the lifetime of the subject. Covariate information for censored data is also incorporated. The union of the horizontal bars forms the Kaplan–Meier estimator of the survival function. Our graphical method is implemented with a new S‐plus function and demonstrated in several applications. Copyright © 2001 John Wiley & Sons, Ltd.