Adjustment for continuous confounders: an example of how to prevent residual confounding

Control for confounding is crucial in causal observational studies. However, the modelling of continuous confounders has not received much attention. This is probably because in causal research the focus is on a single factor (i.e., the exposure of interest), and confounders are merely considered as