DATA 
SCIENCE
FOR
HEALTH
EQUITY

We were delighted to host Claire Coffey - University of Cambridge , for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic:   Are polygenic risk scores fair for cardiovascular disease risk prediction?  Abstract:  Polygenic risk scores (PRS) are increasingly proposed to enhance cardiovascular disease (CVD) risk prediction, particularly for individuals whose clinical risk estimates fall in intermediate ranges where tr

Socioeconomic status (SES) is part of the default demographic toolkit in health research — right up there with age and sex. And much like those, it’s often included reflexively, adjusted for automatically, and measured using whatever data happen to be available. Part 1 lays out the limits of income-based SES measures and introduces alternative ways to capture deprivation, including household-level metrics and geographic proxies.

Vishnuga Raveendran Children & Families Theme Lead Contact: vishnuga.raveendran.19@ucl.ac.uk What does your job actually entail? Every day is different but always has thinking involved! I am doing a PhD so some days I’m reading, some days I’m coding, some days I’m writing and some days, I am trying to figure out what I am trying to figure out. When not at work, you can be found... hanging out with my friends and family 😊 Why did you join the DSxHE community? I want to be