Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Building a Nomogram for Survey-Weighted Cox Models Using R | Capanu | Journal of Statistical Software
Authors: Marinela Capanu, Mithat Gönen
Title: Building a Nomogram for Survey-Weighted Cox Models Using R
Abstract: Nomograms have become very useful tools 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 an R package, SvyNom, to accomplish this goal and illustrates its use on a gastric cancer dataset. Validation and calibration routines are also included.

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Paper: Building a Nomogram for Survey-Weighted Cox Models Using R     Download PDF (Downloads: 3569)
Supplements:
SvyNom_1.1.tar.gz: R source package Download (Downloads: 206; 22KB)
v64c01.R: R example code from the paper Download (Downloads: 210; 7KB)

DOI: 10.18637/jss.v064.c01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.