A new approach to analyse longitudinal epidemiological data with an excess of zeros

Table 4 Regression and model fit parameters for the three longitudinal models with a random intercept and random slopes for time, evaluating the difference in development of the hypoglycaemic events over time

	Linear mixed model			Poisson mixed model			Two-part joint mixed model (binomial/Poisson)
	Coef.	Std. Err.	P > \|z\|	Coef.	Std. Err.	P > \|z\|	Coef.	Std. Err.	P > \|z\|
T1 (3 months)	−0.35	(0.27)	0.201	0.28	(0.16)	0.093	0.12	(0.15)	0.424
T2 (6 months)	−0.82	(0.26)	0.001	0.38	(0.17)	0.027	0.25	(0.16)	0.128
BIC	12198.49			6774.745			6467.549
Mean squared residual	5.12			0.24			0.30

Abbreviation: Regression coefficients (Coef.), Standard errors (Std. Err.), P-value (P > |z|), Bayesian information criterion (BIC).

ISSN: 1471-2288