Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 75, Issue 1, Pages 45-49Publisher
ELSEVIER SCI IRELAND LTD
DOI: 10.1016/j.cmpb.2003.10.004
Keywords
graphics; standardization; stratification; survival analysis
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Funding
- NIAID NIH HHS [K08 AI 49392, U01 AI 35043, U01 AI 42590] Funding Source: Medline
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Kaplan-Meier survival curves and the associated nonparametric log rank test statistic are methods of choice for unadjusted survival analyses, white the semi-parametric Cox proportional hazards regression model is used ubiquitously as a method for covariate adjustment. The Cox model extends naturally to include covariates, but there is no generally accepted method to graphically depict adjusted survival curves. The authors describe a method and provide a simple worked example using inverse probability weights (IPW) to create adjusted survival curves. When the weights are non-parametrically estimated, this method is equivalent to direct standardization of the survival curves to the combined study population. (C) 2003 Elsevier Ireland Ltd. All rights reserved.
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