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Table 1 Comparison of the Impact of Different Priors on Bayesian Model

From: Comparison of Bayesian and classical methods in the analysis of cluster randomized controlled trials with a binary outcome: The Community Hypertension Assessment Trial (CHAT)

Prior

Outcome: BP controlled (unadjusted for covariates)

Type of Prior

Prior distribution

Odds Ratio

95% CI

 

Uniform (0, 1)

1.11

(0.64 1.92)

 

Uniform (0, 5)

1.09

(0.61 1.94)

Non-informative

Uniform (0, 10)

1.09

(0.61 1.94)

 

Uniform (0, 50)

1.09

(0.61 1.94)

 

Uniform (0, 100)

1.09

(0.61 1.94)

Non-informative and Conjugate

IGamma (0.001, 0.001)

1.11

(0.63 1.94)

 

IGamma (0.01, 0.01)

1.11

(0.63 1.95)

 

IGamma (0,1, 0.1)

1.12

(0.64 1.95)

  1. CI = confidence interval; BP = Blood pressure; Igamma = Inverse Gamma