determine_effect_type: Determine Effect Type Label

In summata: Publication-Ready Summary Tables and Forest Plots

Determine Effect Type Label

Description

Identifies the appropriate effect measure label (OR, HR, RR, Coefficient, aOR, aHR, aRR, Adj. Coefficient) based on model type, exponentiation setting, and whether the estimate is adjusted (multivariable) or unadjusted (univariable).

Usage

determine_effect_type(uni_raw, multi_raw, exponentiate, adjusted = FALSE)

Arguments

uni_raw	Raw univariable data.table containing coefficient columns. Used to detect effect type when adjusted = FALSE.
multi_raw	Raw multivariable data.table containing coefficient columns. Used to detect effect type when adjusted = TRUE.
exponentiate	Logical or NULL controlling label selection: TRUE Force exponentiated labels (OR, HR, RR, Exp(Coef)) FALSE Force coefficient labels (Coefficient, Adj. Coefficient) NULL Auto-detect from column names in raw data
adjusted	Logical. If TRUE, returns adjusted effect labels (aOR, aHR, aRR, Adj. Coefficient) for multivariable results. If FALSE, returns unadjusted labels (OR, HR, RR, Coefficient) for univariable results.

Value

Character string with the effect measure label:

summata documentation built on May 7, 2026, 5:07 p.m.