Epidemiologic Perspectives & Innovations

Table 3 Summary of Linear Regression Model of Log₁₀(RNA+1) at baseline (n = 197 observations)

From: Translational methods in biostatistics: linear mixed effect regression models of alcohol consumption and HIV disease progression over time

	Est (SE)	p-value	Multiple df p-value
Intercept	1.0 (1.3)	.43
Drink	2.6 (1.2)	.03
Adherence	-.37 (1.0)	.71
Drink*Adherence	-2.4 (1.2)	.05
Age	0.0 (.02)	.98
Female	.58 (.37)	.12
Homeless	.44 (.32)	.18
Doses/day	-.07 (.09)	.43
Enrollment year	.32 (.14)	.02
Race/ethnicity			.94 (df = 3)
Black	.06 (.32)	.84
Latino	.06 (.36)	.88
Other	1.2 (1.8)	.53
White	0	.
ADHERE assignment			.36 (df = 2)
Non ADHERE	-.12 (.33)	.73
ADHERE treatment	.35 (.37)	.35
ADHERE control	0	.
Primary HIV risk factor			.13 (df = 2)
Men sex with men	.83 (.7)	.08
Injection drug use	.69 (.37)	.06
Heterosexual sex	0	.

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