gcerisk: Generalized Competing Event Model
Version 16.1.3

Generalized competing event model based on Cox PH model and Fine-Gray model. This function is designed to develop optimized risk-stratification methods for competing risks data, such as described in: 1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F, and Mell LK.(2014) . Validated competing event model for thestage I-II endometrial cancer population. Int J Radiat Oncol Biol Phys.89:888-98. 2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose BS, Shen H, Vaida F, Murphy JD, and Mell LK.(2016) . Improved method to stratify elderly cancer patients at risk for competing events. J Clin Oncol.in press.

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AuthorHanjie Shen <has072@ucsd.edu>, Ruben Carmona <ruben.carmona13@gmail.com>, Loren Mell <lmell@ucsd.edu>
Date of publication2016-04-28 00:52:33
MaintainerHanjie Shen <shenhanjie0418@gmail.com>
LicenseGPL (>= 2)
Version16.1.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gcerisk")

Man pages

gcecox: Fit Generalized Competing Event Model Based on Proportional...
gcefg: Fit Generalized Competing Event Model Based on Fine Gray...
Sample: Sample dataset

Functions

Sample Man page
gcecox Man page Source code
gcefg Man page Source code

Files

NAMESPACE
data
data/Sample.rda
R
R/gcefg.R
R/gcecox.R
R/gcerisk.R
MD5
DESCRIPTION
man
man/gcecox.Rd
man/Sample.Rd
man/gcefg.Rd
gcerisk documentation built on May 20, 2017, 4:39 a.m.