SUGI 28: An Approach to Displaying Predicted Survival Data Based on the Level of a Continuous Covariate
نویسندگان
چکیده
Kaplain-Meier estimates are widely used for plotting survival curves over time, for one or more strata. Graphical display of survival estimates based on a continuous covariate are more problematic. We propose a simple approach to plotting survival estimates at a specified point in time, based on the value of a continuous explanatory variable. This approach allows for the adjustment of survival estimates by any set of covariates. We illustrate this approach using Cox’s proportional hazard model to calculate 5 year survival estimates for a North Central Cancer Treatment Group (NCCTG) retrospective colorectal cancer study. This paper presents a comparison between the standard methods and the new approach, and is intended for an audience with intermediate SAS skills. A basic knowledge of the PHREG and GPLOT procedures is assumed.
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