The Lancet

Familial confounding and causal inference in child and adolescent neurodevelopment and mental health

Recent announcements by the US Government linking paracetamol use during pregnancy to autism in offspring highlight the risks of misinterpreting observational research to inform policy; this is a ...
jech.bmj

Confounding by socioeconomic position remains after adjusting for neighbourhood deprivation: an example using smoking and mortality

Department of Public Health, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand Correspondence to: Dr T Blakely Department of Public Health, Wellington ...
jech.bmj

A bootstrap method to avoid the effect of concurvity in generalised additive models in time series studies of air pollution

2 Department of Statistics and Operations Research, University of Vigo, Spain 3 Unit of Biostatistics, Department of Statistics and Operations Research, University of Santiago de Compostela ...
The Motley Fool

What Is a Dependent Variable?

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...
STAT

How to tease out what’s causation and what’s just correlation

Kwon is a Ph.D. student in health policy at Harvard University. Stuart is professor and chair in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. It is human ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

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 ...
GitHub

Does DoWhy support inference and variable manipulation on hybrid network? How to write this simple example

I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...
Honi Soit

Half the Population, Half the Data: Women as Confounding Variables in Science

It would be redundant to inform female readers on the medical discrimination we face. I’ve heard countless horror stories, from gastrointestinal diseases dismissed as eating disorders, to ...