jointCompRisk (version 0.1.1)

main_df: Main Competing Risks Dataset Simulated clinical trial data with competing risks survival outcomes. This dataset follows the structure of Adaptive COVID-19 Treatment Trials (ACTT) with built-in treatment effects for demonstration purposes.

Description

Main Competing Risks Dataset Simulated clinical trial data with competing risks survival outcomes. This dataset follows the structure of Adaptive COVID-19 Treatment Trials (ACTT) with built-in treatment effects for demonstration purposes.

Usage

data(main_df)

Format

A data frame with 150 rows and 7 variables:

ID

Patient identifier (character)

TimeToRecovery

Time to recovery event in days (numeric)

TimeToDeath

Time to death event in days (numeric)

RecoveryCensoringIndicator

Recovery censoring indicator (0=event observed, 1=censored)

DeathCensoringIndicator

Death censoring indicator (0=event observed, 1=censored)

BaselineScore

Baseline severity score, range 4-7 (numeric)

Treatment

Treatment arm indicator (0=control, 1=treatment)

Details

This is a simulated dataset created for demonstration purposes with realistic treatment effects built in: treatment group has 1.5× faster recovery times and 1.8× improved survival compared to control. The data represents a clinical trial with competing risks where patients can either recover or die, with administrative censoring at 30 days.

Examples

data(main_df)
head(main_df)
summary(main_df)
# Compare outcomes by treatment
tapply(main_df$TimeToRecovery, main_df$Treatment, summary)
tapply(main_df$TimeToDeath, main_df$Treatment, summary)