Calculate MCID using Anchor-Based Method — calculate_mcid

Calculates the Minimal Clinically Important Difference using an anchor variable (e.g., Patient Global Impression of Change).

Usage

calculate_mcid_anchor(
  data,
  score_var,
  anchor_var,
  anchor_positive = c("Minimally Improved", "Much Improved"),
  anchor_minimal = "Minimally Improved",
  conf_level = 0.95
)

Arguments

data: Data frame with PRO scores and anchor variable
score_var: Character. Name of the PRO score change variable
anchor_var: Character. Name of the anchor variable
anchor_positive: Character vector. Values indicating positive/improved response on anchor (default: c("Minimally Improved", "Much Improved"))
anchor_minimal: Character vector. Values indicating minimal improvement used for MCID (default: "Minimally Improved")
conf_level: Numeric. Confidence level for CI (default: 0.95)

Value

List with mcid estimate, ci, n, and method

Examples

if (FALSE) { # \dontrun{
# Calculate MCID using anchor-based method
result <- calculate_mcid_anchor(
  data = pro_data,
  score_var = "CHG",
  anchor_var = "PGIC"
)

# Access results
result$mcid
result$ci
} # }