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 ...

A recent study published in Molecular Psychiatry suggests a new way to understand the relationship between body fat and 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 ...

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 ...

Jonathan Freeman, Donald A. Goldmann and John E. McGowan, Jr. Most information in hospital epidemiology comes from observational studies of hospitalized patients, not from planned experiments. Data ...

Does ice cream cause drownings? Let's think about this statistically. Consider that, in any given city, daily sales of ice cream are, most likely, positively correlated with daily rates of drownings.