Table 4.

Posterior means and correspondence p-values for parameter estimation with inclusion and exclusion of patient specific variance

Effect	Model (2): With homogeneity of variance for patients		Model (5): With patient specific variance/heterogeneity
	Posterior estimate	p-value	Posterior estimate	p-value
Intercept	4.350	0.004	4.130	0.002
Age	−0.006	0.003	− 0.036	0.005
Weight	0.001	0.082	0.001	0.082
Baseline CD4	0.005	0.008	0.002	0.008
Area (Reference = Urban)
Rural	−0.002	0.064	−0.003	0.003
Marital Status (Reference = without partner)
With partner	0.007	0.003	0.005	0.003
Sex (Reference = male)
Female	0.034	0.004	0.023	0.003
Level of education (Reference = Tertiary)
No educationl	0.001	0.076	0.001	0.076
Primary education	0.017	0.044	0.017	0.034
Secondary education	0.020	0.028	0.010	0.038
Level of Income (Reference = High income)
Low income	−0.010	0.074	−0.020	0.064
Middle income	−0.006	0.062	−0.016	0.052
Owner of Cell phone (Reference = With phone)
Without cell phone	−0.001	0.004	−0.001	0.004
Level of adherence (Reference = Good adherence)
Poor adhere	−0.523	0.004	−0.483	0.002
Fair adhere	−0.452	0.001	−0.552	0.002
Level of disclosure the disease (Reference = yes)
No	- 0.00195	0.0031	−0.1020	0.0031
WHO stages (Reference = Stage IV)
Stage I	0.1511	0.0021	0.2511	0.0021
Stage II	0.1567	0.0321	0.1567	0.0321
Stage III	0.1381	0.2311	0.4381	0.0311
Time	0.0210	0.0013	0.1210	0.0213
Var (νi0)	0.8820		0.8620
Var (νi1)	0.0210		0.0110
Cov (νi0, νi1)	- 0.0542		- 0.0642
Corr (νi0, νi1)	−0.8214		−0.7314
DIC	234,763		212,393

ν_i0 is the random of patient i effect and  ν_i1 is the random fraility term