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The Poverty You Can’t See: Scarcity, Stress, and the Health Data That Miss Them (Part 2)
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.
Nov 24
Spotlight on🔦Vishnuga Raveendran🔦
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
Nov 17
🎥 Statistical Methods for Health Equity Webinar: Vincent Jeanselme (Columbia University)🎥
We were delighted to host  Vincent Jeanselme a postdoctoral researcher at the reAIM Lab, Columbia University, for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic:  Advancing AI-Based Risk Prediction for Improved Decision-Making in Healthcare Abstract Accurate prediction of patient outcomes plays a critical role in healthcare decision-making, shaping treatment strategies, clinical guidelines, hospital operations
Nov 12
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