Table 3.

Models for SF-12 MCS and PANSS total score and insight level

Parameter	Estimate	SE	P value
Model with baseline data
Intercept	35.86	0.54	< 0.0001
PANSS total score
When score < 90	−0.26	0.02	< 0.0001
When score ≥ 90	−0.02	0.06	0.6958
PANSS Item G12 ≥ 5	8.63	1.01	< 0.0001
Model with longitudinal data
Intercept	35.23	2.18	< 0.0001
Visit 12: 12 months vs 6 months	0.24	0.47	0.6142
Baseline MCS	0.44	0.03	< 0.0001
Baseline PANSS total score	−0.15	0.02	< 0.0001
Change in PANSS total score from baseline	−0.22	0.02	< 0.0001
Follow-up PANSS Item G12 ≥ 5	4.48	1.23	0.0003

Abbreviations: MCS Mental Component Summary, PANSS Positive and Negative Syndrome Scale, SE standard error