cox_rhogamma_resample: Resampling for Weighted Cox Model (rho, gamma)

In weightedsurv: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting

Resampling for Weighted Cox Model (rho, gamma)

Description

Performs resampling to estimate uncertainty for the weighted Cox model (rho, gamma).

Usage

cox_rhogamma_resample(
  fit_rhogamma,
  i_bhat,
  K_wt_rg,
  i_zero,
  K_zero,
  G1.draws = NULL,
  G0.draws = NULL,
  draws = 100,
  seedstart = 8316951
)

Arguments

fit_rhogamma	List with fitted Cox model results.
i_bhat	Information at estimated beta.
K_wt_rg	Weights at estimated beta.
i_zero	Information at beta=0.
K_zero	Weights at beta=0.
G1.draws	Optional: pre-generated random draws for groups.
G0.draws	Optional: pre-generated random draws for groups.
draws	Number of resampling iterations (default: 100).
seedstart	Random seed for reproducibility (default: 8316951).

Value

List with resampling results (score, beta, standard error, etc.).

weightedsurv documentation built on Dec. 23, 2025, 1:07 a.m.