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. Author manuscript; available in PMC: 2013 Nov 6.
Published in final edited form as: Demogr Res. 2012 Dec 12;27:10.4054/DemRes.2012.27.26. doi: 10.4054/DemRes.2012.27.26

Table 1.

Empirical coverage of the Bayesian prediction intervals for HIV prevalence

50% Prediction Interval 80% Prediction Interval 95% Prediction Interval
HIV Incidence Trend <25% [25%, 75%] 75%< <10% [10%,90%] 90%< <2.5% [2.5%, 97.5%] 97.5%<
fixed gamma curve
  % of Observations
10.7% 42.9%
(2.6)
46.4% 3.6% 75.0%
(4.9)
21.4% 3.6% 92.9%
(7.5)
3.6%
estimated gamma curve
  % of Observations
10.7% 10.7%
(1.7)
78.6% 3.6% 25.0%
(3.0)
71.4% 3.6% 50.0%
(4.2)
46.4%
estimated sex-specific gamma curves
  % of Observations
10.7% 10.7%
(1.8)
78.6% 3.6% 28.6%
(3.3)
67.9% 3.6% 53.6%
(4.8)
42.9%
non-parametric trend
  % of Observations
10.7% 10.7%
(2.0)
78.6% 3.6% 39.3%
(3.7)
57.1% 3.6% 57.1%
(5.4)
39.3%
sex-specific non-parametric trends
  % of Observations
10.7% 25.0%
(3.1)
64.3% 3.6% 67.9%
(5.7)
28.6% 3.6% 89.3%
(8.4)
7.1%

Notes: Results for Tanzania for various specifications of the HIV incidence trend. Numbers in parentheses are mean interval widths measured in percentage points. There are 28 observations.