Confidence Intervals for Outcome Predictions — mskOutcomeConfidenceInterval • PhysioMSKNet

Computes confidence intervals for functional outcome predictions using bootstrap resampling or analytical delta method.

Usage

mskOutcomeConfidenceInterval(
  predictions,
  method = c("bootstrap", "analytical"),
  n_boot = 100L,
  confidence_level = 0.95
)

Arguments

predictions: An MSKFunctionalOutcome object.
method: Character: "bootstrap" (default) or "analytical".
n_boot: Integer, number of bootstrap resamples (default: 100).
confidence_level: Numeric, confidence level (default: 0.95).

Value

A list with:

ci: data.frame with outcome, point_estimate, lower, upper, width
method: character
n_boot: integer (for bootstrap)
overall_uncertainty: numeric, mean CI width

Examples

if (FALSE) { # \dontrun{
outcome <- mskPredictFunctionalOutcome("Biceps Brachii")
ci <- mskOutcomeConfidenceInterval(outcome)
} # }