Table 4.

Akaike information criteria (AIC) and p-values from Likelihood ratio tests (LRT) for cluster labels in logistic regression models for predicting feeding tube, aspiration, and RAD. Lower AIC indicates better fit models after accounting for the number of covariates. LRT p-values <.05 indicates 95% confidence that cluster labels are meaningfully correlated with toxicity after accounting for other covariates.

	Feeding Tube			Aspiration Rate			RAD
	Base model	Base model + LN Cluster		Base model	Base model + LN Cluster		Base model	Base model + LN Cluster
Model Covariates	AIC	AIC	LRT	AIC	AIC	LRT	AIC	AIC	LRT
Clinical (Age, Smoke, Chemo, HPV)	519.1	508.6	< .001	503.6	493.1	< .001	645.1	627.1	< .001
Clinical + T-stage	488.5	485	< .05	477.2	472.3	< .05	602.8	594.4	< .01
Clinical + T-stage + N-stage	490.5	486.8	< .05	475.2	467.5	< .01	602.2	590.9	< .001

Age: Age >= 65; Smoke: Smoking Status (Never or Former/Current); Chemo: (Concurrent Chemo-radiation or Radiation Alone); HPV: HPV status (Positive, Negative, or Unknown); T: T-category (1–2 or 3–4); N: N-category (0–1 or 2–3).