Variable
  alpha beta delta gamma
Rank model ModelProb i Estimate StdErr Odds Ratio 95% Odds Ratio Lower CL 95% Odds Ratio Upper CL i Estimate StdErr Odds Ratio 95% Odds Ratio Lower CL 95% Odds Ratio Upper CL i Estimate StdErr Odds Ratio 95% Odds Ratio Lower CL 95% Odds Ratio Upper CL i Estimate StdErr Odds Ratio 95% Odds Ratio Lower CL 95% Odds Ratio Upper CL
1 beta,delta 80.21% . . . . . . . -0.71 0.14 0.49 0.37 0.65 . 0.04 0.01 1.04 1.03 1.05 . . . . . .
2 beta,gamma,delta 16.18% . . . . . . . -0.67 0.14 0.51 0.39 0.68 . 0.04 0.01 1.04 1.03 1.05 . -0.42 0.22 0.66 0.43 1.01
3 alpha,beta,delta 3.01% . -0.00 0.00 1.00 0.99 1.00 . -0.71 0.14 0.49 0.37 0.65 . 0.05 0.01 1.05 1.03 1.06 . . . . . .

Posterior Probability, Mean, StdErr and Odds Ratio for each variable

  Posterior Parameters   Conditional [on being in the model] Posterior Parameters
Variable Post Prob First Model In First Model Without i Post Mean Post StdErr Median Post Odds Ratio 95% LCL for OddsRatio 95% UCL for OddsRatio i [cond] Post Mean [cond] Post StdErr [cond] Median Post Odds Ratio [cond] 95% LCL for OddsRatio [cond] 95% UCL for OddsRatio
delta 100.00% 1 9 . 0.04 0.01 1.04 1.03 1.05 . 0.04 0.01 1.04 1.03 1.05
beta 99.97% 1 5 . -0.71 0.14 0.49 0.37 0.66 . -0.71 0.14 0.49 0.37 0.66
gamma 16.76% 2 1 . -0.07 0.18 1.00 0.52 1.00 . -0.42 0.22 0.66 0.43 1.01
alpha 3.57% 3 1 . -0.00 0.00 1.00 1.00 1.00 . -0.00 0.00 1.00 0.99 1.00

Details

Rank Model Converged ModelProb BIC -2 log Likelihood p (number
of parameters)
1 beta,delta Yes 80.21% 3875.62 3832.57 6
2 beta,gamma,delta Yes 16.18% 3878.82 3828.59 7
3 alpha,beta,delta Yes 3.01% 3882.19 3831.95 7