Run an automated sensitivity analysis battery

Re-fits a clinical prediction model under several robustness checks, complete-case vs imputed data, outlier exclusion, and subgroup consistency, and compares performance metrics across them.

Usage

tr_sensitivity(data, model, subgroup_col = NULL, outlier_sd = 3)

Arguments

data

The original (pre-imputation) data frame, containing the same predictors and outcome used in model.

model

A fitted triageR_model object from tr_fit().

subgroup_col

Optional character. Name of a categorical column (e.g. "sex") to check subgroup consistency across.

outlier_sd

Numeric. Number of standard deviations beyond which a numeric predictor value is considered an outlier and excluded in the outlier-robustness check. Defaults to 3.

Value

A triageR_sensitivity object (list) with a comparison tibble of metrics across all sensitivity scenarios.

Examples

if (FALSE) { # \dontrun{
tr_sensitivity(data, model, subgroup_col = "sex")
} # }