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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