Causal inference is a critical area of research in statistics and econometrics, particularly when it comes to understanding treatment effects in observational studies. Unlike randomized controlled ...

This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in Human Geography and Urban Studies (Research), MSc in International Social and Public Policy ...

“The point is that, according to the researchers’ argument, deprivation lies on a path of cause and effect going from having ADHD to having a lower life expectancy, and adjusting for deprivation could ...

Using data from over 500,000 participants in the UK Biobank cohort, the researchers conducted both traditional observational studies and advanced Mendelian randomization (MR) analyses to explore ...