The authors argue that population structure per se is not a problem in genome-wide association studies — the true sources are the environment and the genetic background, and the latter is greatly ...

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 ...

The bewitching duo of Nicole Kidman and Sandra Bullock turned this 1998 supernatural dramedy with a baffling story line into a Halloween classic. The bewitching duo of Nicole Kidman and Sandra Bullock ...

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 ...

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 ...

In a new observational study published in Cancer, commonly prescribed chronic medications did not affect the efficacy of ...

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 ...

I know that I’m supposed to look to Jesus for the answers. I was that kid in Sunday school who, when asked just about any question, would blurt out, “Jesus?” as my answer. When I mull over matters of ...