Table 7.

Bayesian parameter estimates for the BSOI-NN and BSOI-IN models with the considération of the baseline learning scores.

Covariates	Para	BSOI-NN		BSOI-IN
		Est	SD	Est	SD
Scalar on image regression
eigenimage 1	β 1	0.691 *	0.145	0.525*	0.130
eigenimage 2	β 2	0.598*	0.140	0.304*	0.125
eigenimage 3	β 3	0.590*	0.132	0.248*	0.116
eigenimage 4	β 4	0.500*	0.149	0.116	0.125
eigenimage 5	β 5	0.759*	0.145	0.381 *	0.124
gender	γ1	0.026	0.311	0.031	0.270
age	γ2	0.055*	0.018	0.028	0.021
educational level	γ3	0.105*	0.036	0.044	0.038
race	γ4	−0.063	0.466	−0.116	0.423
whether ever married	γ5	−2.153*	0.826	− 0.947	0.785
APOE4	γ6	−0.267	0.193	−0.155	0.172
whether have MCI or AD	γ7	−2.294*	0.318	−1.570*	0.253
baseline learning score	γ8	0.407*	0.050	0.317*	0.045
Exponentialtilting model
eigenimage 1	βr1	0.184	0.205
eigenimage 2	βr2	−0.084	0.195
eigenimage 3	βr3	−0.238	0.166
eigenimage 4	βr4	−0.226	0.188
eigenimage 5	βr5	0.018	0.192
gender	γ r1	0.112	0.404
age	γ r2	0.013	0.017
race	γr3	−0.553	0.608
whether ever married	γr4	0.180	0.845
APOE4	γr5	0.029	0.254
whether have MCI or AD	γr6	−0.873	0.591
baseline learning score	γr7	0.164*	0.082
learning score	φ	−1.257*	0.225

^*Zero is not contained in the 95% credibility interval