km_quantile: Kaplan-Meier quantile and confidence interval

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

Kaplan-Meier quantile and confidence interval

Description

Calculates the quantile and confidence interval for a Kaplan-Meier curve.

Usage

km_quantile(
  time_points,
  survival_probs,
  se_probs = NULL,
  qprob = 0.5,
  type = c("midpoint", "min"),
  conf_level = 0.95
)

Arguments

time_points	Vector of time points.
survival_probs	Vector of survival probabilities.
se_probs	Standard errors of survival probabilities.
qprob	Quantile probability (default 0.5).
type	Calculation type (midpoint or min).
conf_level	Confidence level (default 0.95).

Value

List with quantile and confidence interval.

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