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Validate Dataset for MRCT Simulations

Source: R/mrct_simulation.R
validate_mrct_data.Rd

Checks that a dataset contains all required variables for MRCT simulation functions and reports any issues. Required variables include outcome (tte, event), treatment (treat), continuous covariates (age, bm), and factor covariates (male, histology, prior_treat, regA).

Usage

validate_mrct_data(df.case, verbose = TRUE)

Arguments

df.case

Data frame to validate

verbose

Logical. Print detailed validation results. Default: TRUE

Value

Logical. TRUE if all requirements met, FALSE otherwise (invisibly)

Details

Required Variables

The function checks for the following variables:

  • Outcome: tte (time-to-event), event (0/1 indicator)

  • Treatment: treat (0/1 indicator)

  • Continuous: age, bm (biomarker)

  • Factor: male (0/1), histology, prior_treat (0/1), regA (0/1)

The function also validates variable types and value ranges.

See also

create_dgm_for_mrct for creating DGM from validated data

Examples

if (FALSE) { # \dontrun{
# Check if dataset is ready for MRCT simulations
is_valid <- validate_mrct_data(df.case)

if (!is_valid) {
  stop("Please fix data issues before running simulations")
}
} # }