LikI.bis: Second likelihood function needed to fit the independence...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Second likelihood function needed to fit the independence model in the second step of the estimation procedure.

Description

This function defines the log-likelihood used in estimating the second step in the competing risks extension of the model described in Willems et al. (2024+). The results of this function will serve as starting values for subsequent optimizations (LikI.comprsk.R and LikF.cmprsk.R)

Usage

LikI.bis(par, data, admin, conf, cf)

Arguments

par	Vector of all second step model parameters, consisting of the regression parameters, variance-covariance matrix elements and transformation parameters.
data	Data frame resulting from the 'uniformize.data.R' function.
admin	Boolean value indicating whether the data contains administrative censoring.
conf	Boolean value indicating whether the data contains confounding and hence indicating the presence of Z and W
cf	"Control function" to be used. This can either be the (i) estimated control function, (ii) the true control function, (iii) the instrumental variable, or (iv) nothing (cf = NULL). Option (ii) is used when comparing the two-step estimator to the oracle estimator, and option (iii) is used to compare the two-step estimator with the naive estimator.

Value

Starting values for subsequent optimization function used in the second step of the estimation procedure.

References

Willems et al. (2024+). Flexible control function approach under competing risks (in preparation).

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