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TZID:America/Detroit
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DTSTART:20070311T020000
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DTSTAMP:20260427T090939
DTSTART;TZID=America/Detroit:20260507T120000
DTEND;TZID=America/Detroit:20260507T170000
SUMMARY:Exhibition:Watcher of the Sky: Making and Remaking the Detroit Observatory
DESCRIPTION:The Detroit Observatory was once a hub of astronomical discovery that put the University of Michigan on the map as a world-class research institution. A century later\, it was an abandoned building with an uncertain future. From cornerstone to keystone\, from the first director to the people who saved it from destruction\, explore the life of a historic observatory 170 years in the making.\n\n\"Watcher of the Sky\" is being developed by student docents at the Detroit Observatory. Presented by the Judy and Stanley Frankel Detroit Observatory\, part of the Bentley Historical Library.\n\n\"Watcher of the Sky\" is now on display at the Detroit Observatory (1398 Ann Street\, Ann Arbor\, 48109). View the exhibit during the Observatory's open hours:\nThursdays 12-5 pm\nFridays 12-11 pm\nSelected Saturdays 12-5 pm
UID:138950-21900823@events.umich.edu
URL:https://events.umich.edu/event/138950
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:astronomy,university of michigan history,university history,U-m History,Science,museums,Museum,history,free,Exhibition,educational,Education,bentley library,bentley historical library,Astronomers
LOCATION:Detroit Observatory
CONTACT:
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DTSTAMP:20260506T144019
DTSTART;TZID=America/Detroit:20260507T150000
DTEND;TZID=America/Detroit:20260507T170000
SUMMARY:Lecture / Discussion:Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error
DESCRIPTION:Educational programs\, healthcare policies\, and economic shocks frequently act upon intact clusters rather than isolated individuals. Evaluations of such interventions can adjust for baseline differences between clusters with matching\, then address persisting imbalances through regression adjustment. The Peters-Belson (PB)/Oaxaca-Blinder (OB) estimator fits a regression to predict outcomes individuals would have had if they were in the control condition\, and adjusts for imbalances in predicted outcomes by comparing individuals’ differences between observed and predicted outcomes.\n\nThis dissertation begins by showing that in studies that enroll or match only a small number of clusters\, the regression fit contributes non-negligibly to variability of the PB/OB estimator both across studies and across treatment allocations within studies. It makes two proposals in response: first\, incorporating auxiliary clusters—those that are not retained in the initial cluster match—into the regression fit\, and second\, defining the regression coefficients and the PB/OB estimator as M-estimators of regression. The first proposal exhibits promising gains in precision in simulations and an empirical application\, while the second exhibits improved estimation of sampling variability over variance estimators that ignore variation from the coefficient estimates\, particularly when paired with a novel jackknife-type bias correction.\n\nThe CR2 adjustment is a widely used bias correction for cluster-robust variance estimates\, but it may be computationally infeasible in studies with large clusters given existing routines’ reliance on obtaining spectral decompositions of estimated cluster-specific covariance matrices. Chapter 4 provides exact representations of CR2 that obviate this step of the computations\, reducing walltime of CR2 estimates from over a day to just over a minute in settings previously deemed too computationally burdensome.\n\nThe concluding chapter focuses on the initial cluster-level match\, proposing two propensity score (PS) estimators that balance latent confounders when only noisy measurements are available\, if they are available at all. These PS estimators improve matching feasibility and reduce the MSE of treatment effect estimators compared to propensity scores generated from a logistic regression fit to the noisy measurements.
UID:148137-21903034@events.umich.edu
URL:https://events.umich.edu/event/148137
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation
LOCATION:West Hall - 438
CONTACT:
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