Whether X Adds Information Beyond Covariates
Use a nested comparison to test whether adding X improves an association model beyond covariates.
- reduced model: covariates only
- full model: covariates plus focal predictor
nested <- associate$compare(
data,
outcome = demented,
predictors = PRS,
covariates = c(age, sex, PCA),
type = "nested"
)What comes back
Comparison rows describing the reduced-versus-full test. This is inferential model comparison, not predictive benchmarking.
Plotting
Comparison tables or heatmaps. Use evaluate$incremental() when the question is predictive added value.