Table 2. Model Fits for Four Different Bayesian Linear Mixed-Effects Models Examining the Difference in TSPO Binding (Estimated Using V_T) Between Patients With Psychosis and Healthy Control Subjects.

Region	Model	dLOOC	dWAIC	Akaike Weight^a (%)
Frontal Cortex	0	7.6	7.6	1
	1	0	0	38
	2	0.8	0.8	26
	3	1.1	1.1	22
	4	1.9	1.9	14
Temporal Cortex	0	7.1	7.1	1
	1	0	0	35
	2	0.6	0.6	26
	3	0.9	0.9	22
	4	1.6	1.6	16
Hippocampus	0	15.3	15.4	< 1
	1	0	0	36
	2	0.4	0.4	29
	3	1.3	1.2	19
	4	1.7	1.6	16

A null model (0) without patient–control status as predictor is included as a baseline comparison. Lower dLOOC and dWAIC values indicate better model fit.

dLOOC, distance to best-fitting model calculated using leave-one-out cross-validation; dWAIC, distance to best-fitting model calculated using widely applicable information criteria; TSPO, translocator protein; V_T, total distribution volume.

Weights calculated using LOOC scores.

Table 2. Model Fits for Four Different Bayesian Linear Mixed-Effects Models Examining the Difference in TSPO Binding (Estimated Using VT) Between Patients With Psychosis and Healthy Control Subjects.

Table 2. Model Fits for Four Different Bayesian Linear Mixed-Effects Models Examining the Difference in TSPO Binding (Estimated Using V_T) Between Patients With Psychosis and Healthy Control Subjects.