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 ...

Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is ...

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 ...