Let’s say a group of researchers, or data scientists discover that the mortality rate in Florida is 20 deaths out of 1000 people a year compared to Washington State where it is 9.8 deaths out of 1000 ...

Objectives To adjust for confounding in observational data, researchers use propensity score matching (PSM), but more advanced methods might be required when dealing with longitudinal data and ...

The terms independent variables, covariates, confounding variables, and confounding by indication are often imprecisely used in the context of regression. Independent variables are the full set of ...

Objective Present methods to detect and evaluate confounding bias in epidemiologic studies. Methods Confounding is bias that arises when the exposure and outcome share a common cause. Confounding can ...

The epidemiological concept of confounding has had a convoluted history. It was first expressed as an issue of group non-comparability, later as an uncontrolled fallacy, then as a controllable fallacy ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...