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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Int J Drug Policy. 2016 Feb 26;32:3–10. doi: 10.1016/j.drugpo.2016.02.007

TABLE 3.

Regression models of the effects of number of years of MMT2 and control variables on logged HIV incidence rates in 28 countries

Unadjusted Adjusted

logHIV rate overall no trend logHIV rate overall with trend1 logHIV rate PWID7 no trend logHIV rate PWID with trend logHIV rate overall no trend logHIV rate overall with trend1 logHIV rate PWID no trend logHIV rate PWID with trend

Variables Coef10 SE11 Coef10 SE11 Coef10 SE11 Coef10 SE11 Coef10 SE11 Coef10 SE11 Coef10 SE11 Coef10 SE11
Year and country level fixed effects
MMT2(lagged3) −.03*** .004 −.01 .15 −.03*** .008 −.002 .01 −.03*** .004 −.008 .01 −.02** .01 −.004 .01
GDP4(PPP5)6 1.24 1.42 −.69 1.00 1.59 1.51 −.22 1.78
Healthcare spending8 −.17*** .04 −.10* .05 −.35*** .08 −.15 .09
Constant .91*** 0.13 2.01*** 0.40 3.44*** 0.24 6.41 5.59 1.24*** 0.4 3.02*** .60 5.41*** 0.76 8.42 5.71

Model F-Test 21.07*** 25.69*** 2.10** 9.72*** 20.71*** 25.34*** 2.97*** 12.31***
*

p<.05;

**

p<.01;

***

p<.001;

1

Model contains linear and quadradic country-specific trend variables

2

Methadone Maintenance Therapy;

3

Lagged by 3 years;

4

Gross Domestic Product;

5

Purchasing Power Parity;

6

in hundreds of thousands;

7

People who inject drugs;

8

Annual Expenditure on health as a percent of GDP in PPP from public and private sources;

9

Per 100,000 population;

10

Coefficient;

11

Standard Error