Causal Diagram | Bayesian Analysis | Weight | Direct effect | Checking priors | Posterior distribution | Total effect | Conclusion

Step 1. Fit univariable models | Step 2: Fit Initial multivariate Model and Refine Predictors | Step 3: Assess Potential Confounding | Step 4: Reassess Excluded Variables | Step 5: Assess Linearity of Continuous Predictors with Respect to the Logit | Step 6: Assess Interaction Terms | Step 7: Perform Model Assessment

Step 1. Fit univariable models | Step 2: Fit Initial multivariable Model and Refine Predictors | Step 3: Assess Potential Confounding | Step 4: Reassess Excluded Variables | Step 5: Assess Linearity of Continuous Predictors with Respect to the Logit | Step 6: Assess Interaction Terms | Step 7: Perform Model Assessment | Measure of goodness of fit | Classification tables | $R^2$ measures | Logistic regression diagnostics