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Competing Risks Analysis Test Dataset

Source: R/data_timeroc_docs.R
timeroc_competing_risks.Rd

Simulated study with competing risks where patients can experience either disease-specific death or death from other causes. Designed to test time-dependent ROC analysis in competing risks settings.

Usage

timeroc_competing_risks

Format

A data frame with 180 observations and 10 variables:

patient_id

Character. Unique patient identifier (CR_001 to CR_180)

age

Integer. Patient age

comorbidity_score

Integer. Comorbidity burden score (Poisson distributed)

disease_biomarker

Numeric. Disease-specific biomarker

time_to_event_months

Numeric. Time to first event (0-48 months)

event_type

Factor. Type of event ("Censored", "Disease_Death", "Other_Death")

disease_death

Integer. Disease-specific death indicator (1 = disease death, 0 = other)

any_death

Integer. Any death indicator (1 = any death, 0 = censored)

performance_status

Integer. Performance status (0-2)

prior_treatment

Integer. Prior treatment indicator (1 = yes, 0 = no)

Source

Simulated data generated using create_timeroc_test_data.R

Details

This dataset models a clinical scenario where patients face competing risks of disease-specific mortality versus other-cause mortality. The disease biomarker specifically predicts disease-related death, while age and comorbidity predict competing mortality.

Competing Events:

  • Disease Death: Primary outcome of interest

  • Other Death: Competing risk (age/comorbidity related)

  • Censored: Administrative censoring at 48 months

Key Features:

  • True competing risks structure

  • Biomarker specific to disease outcome

  • Comorbidity effects on competing risk

  • 64/180 disease-specific deaths (35.6% disease event rate)

  • Multi-factorial risk structure

Recommended TimeROC Parameters:

  • Timepoints: 6, 24, 48 months

  • Marker: disease_biomarker

  • Event: disease_death (focus on disease-specific outcome)

  • Time: time_to_event_months

See also

timeroc, timeroc_datasets

Examples

if (FALSE) { # \dontrun{
# Load the dataset
data(timeroc_competing_risks)

# Time-dependent ROC for disease-specific mortality
disease_roc <- timeroc(
  data = timeroc_competing_risks,
  elapsedtime = "time_to_event_months",
  outcome = "disease_death",
  marker = "disease_biomarker", 
  timepoints = "6, 24, 48"
)

# Compare to any-death outcome
any_death_roc <- timeroc(
  data = timeroc_competing_risks,
  elapsedtime = "time_to_event_months",
  outcome = "any_death",
  marker = "disease_biomarker",
  timepoints = "6, 24, 48"
)

# Examine competing risks structure
table(timeroc_competing_risks$event_type)
} # }