Table 7b.

Classification results from the simulation study for the different combinations of variables used in the predictions where the random effects are either independent or correlated across variables and the random errors are either independent or have a correlation of 0.25 or 0.5 within visit. The optimal cutoff is used.

Structure of D	Error Correlation	Variables in Model†	Sensitivity*	Specificity*	Efficiency*	AUC*
Independent	0	L	0.813	0.827	0.820	0.889
		F	0.666	0.688	0.678	0.727
		B	0.560	0.597	0.580	0.595
		LF	0.837	0.851	0.844	0.911
		LB	0.817	0.834	0.826	0.892
		FB	0.687	0.692	0.690	0.743
		LFB	0.846	0.851	0.848	0.915
Independent	0.25	L	0.813	0.827	0.820	0.889
		F	0.678	0.679	0.678	0.726
		B	0.572	0.588	0.580	0.594
		LF	0.839	0.848	0.844	0.911
		LB	0.818	0.831	0.825	0.893
		FB	0.686	0.695	0.691	0.744
		LFB	0.846	0.853	0.850	0.915
Independent	0.5	L	0.813	0.827	0.820	0.889
		F	0.675	0.679	0.677	0.727
		B	0.581	0.581	0.581	0.595
		LF	0.839	0.847	0.844	0.911
		LB	0.815	0.835	0.826	0.893
		FB	0.686	0.701	0.694	0.747
		LFB	0.845	0.856	0.851	0.915
Not Independent	0	L	0.813	0.827	0.820	0.889
		F	0.676	0.680	0.678	0.726
		B	0.574	0.584	0.580	0.593
		LF	0.830	0.852	0.842	0.909
		LB	0.823	0.839	0.832	0.898
		FB	0.697	0.687	0.692	0.744
		LFB	0.849	0.856	0.853	0.918
Not Independent	0.25	L	0.813	0.827	0.820	0.889
		F	0.674	0.681	0.678	0.726
		B	0.567	0.595	0.582	0.593
		LF	0.834	0.846	0.841	0.908
		LB	0.825	0.837	0.832	0.899
		FB	0.689	0.698	0.694	0.746
		LFB	0.847	0.858	0.853	0.917
Not Independent	0.5	L	0.813	0.827	0.820	0.889
		F	0.680	0.676	0.678	0.727
		B	0.570	0.589	0.580	0.594
		LF	0.836	0.846	0.842	0.908
		LB	0.822	0.840	0.832	0.899
		FB	0.691	0.696	0.694	0.749
		LFB	0.848	0.860	0.855	0.919

^†L, F, and B represent LPSA, FTI, and BMI respectively

^*The sensitivities, specificities, efficiencies, and AUC for each of the seven models fit are mean values based on 150 replications.