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. Author manuscript; available in PMC: 2012 May 1.

Published in final edited form as: Stat Med. 2010 Feb 20;29(4):489–503. doi: 10.1002/sim.3815

Table 9.

The posterior mean and quantiles of probabilities for lrp data example when using prior p_x ~ Beta(200, 800).

Parameters	Posterior quantiles

	mean	2.5%	25%	median	75%	97.5%
${\hat{P}}_{x}$	0.21	0.18	0.20	0.21	0.22	0.24
$\hat{\Pr} (DE ∣ I_{i x} = 0)$	0.07	0.01	0.05	0.07	0.09	0.12
$\hat{\Pr} (DE ∣ I_{i x} = 1)$	0.48	0.30	0.40	0.48	0.54	0.70
$\hat{\Pr} (I_{i z} = 1 ∣ I_{i x} = 0)$	0.43	0.35	0.41	0.43	0.45	0.50
$\hat{\Pr} (I_{i z} = 1 ∣ I_{i x} = 1)$	0.51	0.42	0.47	0.50	0.54	0.62