IASS Webinar 52: Statistical Data Integration for Health Policy Evidence-Building
| Date | 28 May 2025 |
| Time | 12:00 (GMT+02:00) - 13:30 (GMT+02:00) |
| Level of instruction | Intermediate |
| Instructor |
Carolina Franco
|
| Registration fee | |
Health policy evidence-building requires data sources such as healthcare claims, electronic health records, probability and nonprobability survey data, epidemiological surveillance databases, administrative data, and more, all of which have strengths and limitations for a given policy analysis. Data integration techniques leverage the relative strengths of input sources to obtain a blended source that is richer, more informative, and with better fitness-for-use than any single input component. This presentation notes the expansion of opportunities to use data integration for health policy analyses, reviews key methodological approaches to expand the number of variables in a data set or to increase the precision of estimates, and provides directions for future research. As data quality improvement motivates data integration, key data quality frameworks are provided to structure assessments of candidate input data sources.
Instructors
About the instructor
Carolina Franco is a principal statistician at NORC at the University of Chicago. She conducts research and consulting on the modeling of survey data and related topics and is widely recognized for her expertise in small area estimation (SAE). Before joining NORC, Carolina spent several years working at the U.S. Census Bureau’s Center for Statistical Research and Methodology (CSRM). Carolina is an elected member of the International Statistical Institute (ISI) and holds several leadership appointments in the statistics community. She is guest editor of the Journal of Survey Statistics and Methodology, past chair of the Washington Statistical Society’s Morris Hansen Lecture Committee, past chair of the American Statistical Association’s (ASA) Committee on International Relations in Statistics, a member of the Program Committee for the 2024 SAE Conference in Turin, Italy and a member of the ASA Edward C. Bryant Scholarship Committee. In the past, she has served as associate editor of the Journal of the Royal Statistical Society Series A (JRSS-A), as a member of the Scientific Advisory Committee for the 2023/2024 SAE meeting in Lima, Peru, and as chair of the Gertrude Cox Scholarship Committee, among various other roles.