Fig. 3.

Bayesian model averaging: posterior inclusion probabilities of independent variables in linear regression. Dependent variable is EuroQoL 5D visual analogue scale measure of the health-related quality of life. a shows covariates posterior inclusion probabilities (PIP) based on aggregate information from sampling chain with posterior model distribution based on MCMC frequencies. b shows covariates PIP based on 100 best models from sampling chain with posterior model distributions based on exact marginal likelihoods. Dashed line corresponds to the subset selection PIP threshold, which equals 0.5 (median inclusion probability model). Description of variable names is provided in the Additional file 2