Compute Minimal Detectable Change from Longitudinal Tracker

Computes ICC (intraclass correlation coefficient) across timepoints for each metric, then derives SEM and MDC values for clinimetric assessment.

Usage

mskMinimalDetectableChange(
  tracker,
  method = "standard",
  confidence = 0.95,
  icc_method = "ICC(2,1)"
)

Arguments

tracker

An MSKLongitudinalTracker object.

method

Character, method for MDC computation (default: "standard").

confidence

Numeric, confidence level for MDC (default: 0.95).

icc_method

Character, ICC formula variant (default: "ICC(2,1)").

Value

An S3 object of class "MSKMinimalDetectableChange" with:

mdc_table

data.frame (muscle, metric, ICC, SEM, MDC, pooled_SD)

confidence_level

numeric

method

character

Examples

if (FALSE) { # \dontrun{
mdc <- mskMinimalDetectableChange(tracker, confidence = 0.95)
} # }