Allows one to classify patients into low, intermediate, and high risk groups for disease progression based on a continuous marker that is associated with progression-free survival. It uses a latent class model to link the marker and survival outcome and produces two cutoffs for the marker to divide patients into three groups. See the References section for more details.
|Author||Pingping Qu and John Crowley|
|Date of publication||2015-05-19 09:25:40|
|Maintainer||Pingping Qu <firstname.lastname@example.org>|
all.greyzone.funcs: Fit a Grey-Zone Model with Survival Data
bestcut2: Find an Optimal Cutoff for the 2-group Model
cox.summary: Summarize after Fitting Cox regression
genSurvData: Simulate Survival Outcome Given Marker Values
greyzoneSurv-package: Fit a Grey-Zone Model with Survival Data
mydata: Package Data
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