Table 2.

Fixed effects from zero-inflated binomial models predicting number of days with suicidal thoughts after discharge

	Main effects
	Median	95% HDI	pd	Odds ratio
Bivariate models
(Intercept)	− 1.69	− 2.35, − 1.05	100.0%	0.18
(Zero-inflated intercept)	− 0.19	− 0.71, 0.31	77.0%	0.83
Anxiety/agitation mean	0.26	0.13, 0.39	100.0%*	1.30
(Intercept)	− 0.16	− 0.60, 0.29	74.8%	0.85
(Zero-inflated intercept)	− 0.17	− 0.69, 0.32	74.0%	0.84
Anxiety/agitation variability	− 0.26	− 0.62, 0.10	92.2%	0.77
(Intercept)	− 1.68	− 2.24, − 1.16	100.0%	0.19
(Zero-inflated intercept)	− 0.21	− 0.72, 0.31	78.7%	0.81
Shame/self-hatred mean	0.26	0.16, 0.36	100.0%*	1.30
(Intercept)	− 0.33	− 0.76, 0.14	92.4%	0.72
(Zero-inflated intercept)	− 0.17	− 0.68, 0.34	73.6%	0.84
Shame/self-hatred variability	− 0.12	− 0.51, 0.27	72.4%	0.89
Multiple regression model
(Intercept)	− 2.40	− 3.18, − 1.61	100.0%	0.09
(Zero-inflated intercept)	− 0.25	− 0.80, 0.29	82.1%	0.78
Anxiety/agitation mean	0.18	0.05, 0.33	99.6%*	1.20
Shame/self-hatred mean	0.23	0.12, 0.33	100.0%*	1.26

Note. The top part of the table presents results from four separate bivariate models using each NA variable as the sole predictor, and the bottom part presents results from the multiple regression model including only those NA variables that predicted days with suicidal thoughts in the bivariate models. The zero-inflated intercept corresponds to the discrete distribution portion of the model (i.e., predicting excess zeroes), whereas the intercept is for the beta distribution portion of the model (i.e., predicting values greater than zero). HDI, highest density interval; pd, probability of direction (“significant” effects are marked with a *). n = 59 participants