recoExtrapolation and New Methods for Population Size Estimation w/ Ali Mirzazadeh, MD, PhD, MPH. Dr. Mirzazadeh will provide real-work examples of bias adjustment for mapping data and extrapolation techniques for PSE data from several countries, including Afghanistan.
Extrapolation is a (statistical) technique aimed at inferring the unknown from the known. For Population Size Estimation (PSE), the extrapolation attempts to generate PSE for unobserved, sub-national, and national areas by relying on size estimates (data) available for some observed cities, districts, or provinces. In this CAPS Town Hall talk, Dr. Mirzazadeh presents new developments in Population Size Estimation methods and provides real-work examples of bias adjustment for mapping data and extrapolation techniques for PSE data from several countries, including Afghanistan.
Follow the UCSF Division of Prevention Science on Social:
☀️UCSF Prevention Science Linkedin [ Ссылка ]
☀️UCSF Prevention Science on YouTube [ Ссылка ]
☀️Sign up for our quarterly CAPS/PRC e-newsletter - [ Ссылка ]
Dr. Ali Mirzazadeh, MD, PhD, MPH, is an Associate Professor of Epidemiology at the University of California, San Francisco (UCSF). He is an Iranian-American scientist, a medical doctor, and an infectious disease epidemiologist at the Institute for Global Health Sciences (IGHS), at UCSF. Dr. Mirzazadeh is the Associate Director of the PhD Program in Global Health Sciences at IGHS. He has authored over 153 peer-reviewed journal articles, seven book chapters, and 1 UNICEF guidebook on how to study hard-to-reach youth. He is the PI of the Hard-to-Reach (H2R) Populations Training Program. This program will train scholars and mentors on state-of-the-art methods for sampling, population size estimation, bias analysis, and engagement of hard-to-reach populations in behavioral, social sciences, and clinical research.
This presentation is hosted by the CAPS Developmental Core and co-hosted by the CAPS Methods Core. Town Hall Chair: Parya Saberi, PharmD
Recorded - Tuesday, May 30th, 2023. 11:00 am - 12:00 pm PST
