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Division of Biostatistics Seminar with Jared Huling
Jared Huling, of the Department of Statistics at The Ohio State University, will present: "Energy Balancing of Covariate Distributions for Estimation of Causal Effects" Abstract: Bias in the estimation of causal effects is a function of distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score methods attempt to mitigate bias by either modeling the treatment assignment mechanism or balancing specified covariate moments. In practice, these approaches can be quite sensitive to modeling decisions. This talk…
Find out more »Division of Biostatistics Seminar with Jessica Gronsbell
Jessica Gronsbell, a Data Scientist at Alphabet's Verily Life Sciences, will present: "Leveraging Digital Data for Clinical Research" Abstract: The widespread adoption of electronic health records (EHR) and their subsequent linkage to specimen biorepositories has generated massive amounts of routinely collected medical data for use in translational research. These integrated data sets enable real-world predictive modeling of disease risk and progression. However, data heterogeneity and quality issues impose unique analytical challenges on the development of EHR-based prediction models. For example,…
Find out more »Division of Biostatistics PhD Presentation with Roland Brown
Roland Brown, doctoral candidate in Biostatistics, will present: "A Statistical Framework for Harnessing Human Activity Data to Understand Behavior, Health, and Well-Being" Ph.D. Adviser: Julian Wolfson Abstract: As smartphone and other sensor-based tools for obtaining human activity and ecological momentary assessment (EMA) information become more common, the volume of resulting data will increase exponentially. At the same time, statistical methodology for analyzing these data lag significantly behind data collection methods. This dissertation concerns the development of an overarching statistical framework…
Find out more »Division of Biostatistics Seminar with Anne Eaton
Anne Eaton, of the Division of Biostatistics at the University of Minnesota and candidate for faculty position in the Division of Biostatistics, Biostatistics Core of the Masonic Cancer Center, will present: "Non-parametric Estimation in an Illness-death Model with Component-wise Censoring" Abstract: In disease settings where patients are at risk for death and a serious non-fatal event, composite endpoints defined as the time until the earliest of death or the non-fatal event are often used as the primary endpoint in clinical…
Find out more »Division of Biostatistics Seminar with Jeffrey A. Boatman
Jeffrey A. Boatman, a Postdoctoral Associate in the Division of Biostatistics at the University of Minnesota, will present: "One Out of Many: Combining Data Sources for Causal Inference" Abstract: The increasing multiplicity of data sources offers exciting possibilities for causal inference, particularly if observational and experimental sources can be combined for estimation. Borrowing between data sources can potentially result in more efficient estimators, but it must be done in a principled manner to minimize bias. Furthermore, when the effect of…
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