Abstract
Nomograms have become a very useful tool among clinicians as they provide individualized predictions based on the characteristics of the patient. For complex design survey data with survival outcome, Binder (1992) proposed methods for fitting survey-weighted Cox models, but to the best of our knowledge there is no available software to build a nomogram based on such models. This paper introduces R software to accomplish this goal and illustrates its use on a gastric cancer dataset. Validation and calibration routines are also included.
Disciplines
Numerical Analysis and Computation
Suggested Citation
Capanu, Marinela and Gonen, Mithat, "Building a Nomogram for Survey-Weighted Cox Models Using R" (October 2011). Memorial Sloan-Kettering Cancer Center, Dept. of Epidemiology & Biostatistics Working Paper Series. Working Paper 23.
https://biostats.bepress.com/mskccbiostat/paper23