Fig. 2From: Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalizationOccam’s Window and interpreting the Log Posterior Odds, \(\mathrm{log}\left[pr({M}_{0}|D)/\mathrm{Pr}({M}_{1}|D)\right]\), where \({M}_{0}\) is a submodel of \({M}_{1}\) Back to article page