Seminar offered by Dondena Research Center (Fall 2026 seminar series) ----- September 7th 2026 12:45-2:00pm (UTC+1) ------ CIVICA ESR can attend ONLINE only. Zoom meetings link will be available upon registration. ------ SEMINAR DESCRIPTION: Researchers frequently combine several observational studies in order to compare groups defined by exposure or by disease subtype. The samples are rarely representative of the population that the conclusions are meant to describe. Weighting is the standard remedy, and every weighting scheme implicitly defines a pseudo-population that the resulting estimate actually describes. Inverse probability weights and overlap weights construct pseudo-populations in which the groups are equally prevalent, and such a population may bear little resemblance to the one of policy interest. The target population can instead be specified by the researcher rather than determined by the estimator. The approach is illustrated using seven academic medical centers whose patient composition differs sharply from national prevalence and from one another. Relative to existing methods, the procedure recovers roughly sixty percent more usable information from the same patients while describing a population that matches the national composition. ----- BIO: Subharup Guha is Professor of Biomedical Data Science at the Geisel School of Medicine at Dartmouth. His research develops methods for combining evidence across studies whose samples do not represent the population of interest.
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