Kaplan-Meier Survival and Fine-Gray Competing Risks Cumulative Incidence (CIF) Estimator

Estimates non-parametric Kaplan-Meier survival curves, Greenwood standard errors, confidence intervals, and cause-specific Aalen-Johansen / Fine-Gray Cumulative Incidence Functions (CIF) for 3-state competing risks data.

Usage

estimate_km_survival(
  df_or_list,
  time_col = NULL,
  status_col = NULL,
  ci_type = c("log-log", "linear"),
  alpha = 0.05
)

Arguments

df_or_list

A data.frame or output list from prepare_competing_risks_data().

time_col

Character column name for event times (auto-detected if NULL).

status_col

Character column name for status indicators (auto-detected if NULL).

ci_type

Type of confidence interval: "log-log" (default) or "linear".

alpha

Significance level for confidence intervals (default 0.05).

Value

An object of class c("omop_survival_result", "list") containing:

timeline

Tidy data.frame with time, n_at_risk, events, survival, std_err, CI bounds, and CIFs.

summary

List of summary metrics including total events, censoring, and median survival.

has_competing_risks

Logical flag indicating whether competing risks were evaluated.