Create AE Cumulative Incidence Plot

Creates cumulative incidence plot for adverse events using 1 - KM estimator. For simple analyses without competing risks.

Usage

create_ae_cumulative_incidence_plot(
  data,
  time_var,
  event_var,
  trt_var,
  title = "Cumulative Incidence of Adverse Events",
  xlab = "Time",
  ylab = "Cumulative Incidence",
  show_ci = TRUE,
  conf_level = 0.95,
  colors = NULL,
  base_size = 11
)

Arguments

data

Data frame with time-to-event data

time_var

Character. Time variable

event_var

Character. Event indicator (1=AE occurred, 0=censored)

trt_var

Character. Treatment variable

title

Character. Plot title

xlab

Character. X-axis label

ylab

Character. Y-axis label

show_ci

Logical. Show confidence bands (default: TRUE)

conf_level

Numeric. Confidence level for intervals (default: 0.95)

colors

Named character vector of colors

base_size

Base font size for plot text elements (default: 11)

Value

ClinicalPlot with cumulative incidence curves

Details

Uses 1 - Kaplan-Meier to estimate cumulative incidence. This is appropriate when there are no competing risks or competing risks are minimal.

If event_var contains values other than 0/1, they are treated as competing events and coded as censored for this estimator.

For analyses with significant competing risks (e.g., mortality), consider using dedicated competing risk packages like cmprsk.

Examples

if (FALSE) { # \dontrun{
# Cumulative incidence plot for AEs
plot <- create_ae_cumulative_incidence_plot(
  data = adaette,
  time_var = "AVAL",
  event_var = "CNSR",
  trt_var = "TRT01P",
  title = "Cumulative Incidence of Serious AEs"
)
print(plot)
} # }