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Statistics Department Seminar Series: Elizabeth Ogburn, Associate Professor, Department of Biostatistics, Johns Hopkins University

TBD
Friday, February 11, 2022
10:00-11:00 AM
340 West Hall Map
Betsy Ogburn is an Associate Professor in the Department of Biostatistics at Johns Hopkins University and founder of the COVID-19 Collaboration Platform.

Her research is in causal inference and epidemiologic methods. Broadly, she is interested in developing methods for and describing the behavior of traditional statistical machinery when standard assumptions are not met. She has worked on characterizing the bias that results from misclassification, i.e. violations of the assumption that variables were measured accurately. She has also worked on semiparametric estimation of instrumental variables models, as these models are useful for certain violations of “no unmeasured confounding” assumptions.

Currently, a major focus of her work is on analysis of social and other network data. She is working on methods for statistical inference when observations are dependent, with a dependence structure informed by network topology rather than Euclidean topology, and on how to identify causal effects when treatments exhibit interference (that is, when one subject’s treatment may affect other subjects’ outcomes) and outcomes exhibit contagion.

https://www.eogburn.com/
Building: West Hall
Website:
Event Type: Workshop / Seminar
Tags: seminar
Source: Happening @ Michigan from Department of Statistics, Department of Statistics Seminar Series