wlr_dhat_estimates: Weighted Log-Rank and Difference Estimate at a Specified Time

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

Weighted Log-Rank and Difference Estimate at a Specified Time

Description

Computes the weighted log-rank statistic, its variance, the difference in survival at a specified time (tzero), the variance of the difference, their covariance, and correlation, using flexible time-dependent weights. The weighting scheme is selected via the scheme argument and is calculated using wt.rg.S.

Usage

wlr_dhat_estimates(
  dfcounting,
  scheme = "fh",
  scheme_params = list(rho = 0, gamma = 0),
  tzero = NULL
)

Arguments

dfcounting	List output from df_counting containing risk sets, event counts, and survival estimates.
scheme	Character string specifying weighting scheme. One of: "fh" (Fleming-Harrington), "schemper", "XO", "MB", "custom_time", or "custom_code".
scheme_params	Named list with numeric weighting parameters rho and gamma (used for "fh" and "custom_code" schemes).
tzero	Time point at which to evaluate the difference in survival (default: 24).

Details

The weighting scheme is selected via the scheme argument and calculated using wt.rg.S. Supports standard Fleming-Harrington, Schemper, XO (Xu & O'Quigley), MB (Maggir-Burman), custom time-based, and custom code weights.

Value

A list with elements:

lr	Weighted log-rank test statistic.
sig2_lr	Variance of the log-rank statistic.
dhat	Difference in survival at tzero.
cov_wlr_dhat	Covariance between log-rank and difference at tzero.
sig2_dhat	Variance of the difference at tzero.
cor_wlr_dhat	Correlation between log-rank and difference at tzero.

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