crr.wt.KM: Regression modeling of subdistribution functions using...

In wtcrsk: Competing Risks Regression Models with Covariate-Adjusted Censoring Weights

Description

Fits a subdistribution hazards regression model using the Kaplan-Meier weight. This is the same model as Fine and Gray (1999).

Usage

crr.wt.KM(t, ic, z, variance, var.conservative)

Arguments

t	a vector of observed times.
ic	a vector of cause indicators.
z	a matrix of covariates for fitting the model.
variance	Includes variance calculation if TRUE, Skips variance calculation if FALSE.
var.conservative	Includes minor term of variance of beta if FALSE, no minor term for variance of beta if TRUE.

Details

More details are given in the reference.

Value

a "crrwt" class object.

Author(s)

Peng He

References

He P, Scheike TH and Zhang MJ, A proportional hazards regression model for the subdistribution with covariates adjusted censoring weight for competing risks data, Technical Report #61, Division of Biostatistics, Medical College of Wisconsin, November 2013.

Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk. Journal of The American Statistical Association 94, 496-509.

wtcrsk documentation built on Jan. 15, 2017, 10:50 p.m.