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 ...

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 ...

In a presentation of various methods for assessing the sensitivity of regression results to unmeasured confounding, Lin, Psaty, and Kronmal (1998, Biometrics 54, 948-963) use a conditional ...

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 ...

Ian Maidment has received funding from NIHR and Alzheimer's Society to investigate the link between medication and Alzheimer's disease. Hayley Gorton does not work for, consult, own shares in or ...