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 ...

Using observed imbalances between study groups (e.g., exposed and unexposed) to determine variables for confounding adjustment in nonrandomized studies may misguide the selection of variables to ...

Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing ...