The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London.

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We are excited to announce the next instalment of our webinar series with speaker Muhammad Ibrahim (Research And Development Solutions)

Topic: Bayesian Small Area Estimation for Generating High-Resolution District-Level Contraceptive Prevalence Estimates

This webinar will detail a Bayesian Small Area Estimation (SAE) framework to generate high-resolution, district-level estimates of Contraceptive Prevalence Rates (CPR) in Pakistan.

The session will cover the essential context, data sources, the in-depth methodological approach, validation results, and potential applications of the high-resolution data for policy and research.

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Please direct any questions about the webinar series to info@datascienceforhealthequity.com.