SolveH: Estimate a nonparametric transformation function

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Estimate a nonparametric transformation function

Description

This function estimates the nonparametric transformation function H when the survival time and censoring time are dependent given covariates. The estimating equation of H was derived based on the martingale ideas. More details about the derivation of a nonparmaetric estimator of H and its estimation algorithm can be found in Deresa and Van Keilegom (2021).

Usage

SolveH(theta, resData, X, W)

Arguments

theta	Vector of parameters in the semiparametric transformation model.
resData	Data matrix with three columns; Z = the observed survival time, d1 = the censoring indicator of T and d2 = the censoring indicator of C.
X	Data matrix with covariates related to T.
W	Data matrix with covariates related to C.

Value

Returns the estimated transformation function H for a fixed value of parameters theta.

References

Deresa, N. and Van Keilegom, I. (2021). On semiparametric modelling, estimation and inference for survival data subject to dependent censoring, Biometrika, 108, 965–979.

depCensoring documentation built on April 4, 2025, 1:52 a.m.