Unmeasured confounding variables are a common problem in drawing causal inferences in observational studies. A theorem is given which in certain circumstances allows the researcher to draw conclusions ...

If you’re a Padres fan, October has a funny way of turning “what if” into “thank goodness.” Three years ago, San Diego took a moon-shot swing at the biggest bat on the planet, flying Aaron Judge to ...

Multiple regression models are commonly used to control for confounding in epidemiologic research. Parametric regression models, such as multiple logistic regression, are powerful tools to control for ...

2 Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Geneva and Lausanne, Epalinges, Switzerland Correspondence to Dr Norbert Baume, Swiss Laboratory for Doping Analyses, ...