About this Event
REGISTRATION DEADLINE: The Columbia Morningside campus is open to the Columbia community. If you do not have an active CUID, the deadline to register is at 12:00 PM the day before the event. External guests will receive a QR code by email to enter campus. Thank you for understanding!
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Speaker
, Professor of Statistics and Data Science, Wharton School, University of Pennsylvania
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Abstract
Exploration, Confirmation and Replication in the Same Observational Study
Exploratory data analysis, confirmatory data analysis and replication are three important aspects of building strong evidence from observational studies. Exploratory data analysis, confirmatory data analysis and replication are often thought of as being done on separate studies. However, for settings where randomized experiments are impossible to conduct for ethical reasons and observational studies must be relied on, it is common that there is a data set with unique strengths. We develop a two-team cross screening approach that allows for exploratory data analysis, confirmatory data analysis and replication to be done in the same observational study data set. We apply the approach to study the effect of unwanted pregnancy on mothers’ later life outcomes using data from the Wisconsin Longitudinal Study. We will also briefly discuss data turnover, a one team cross-screening approach that provides some of the benefits of two-team cross screening with only one team. This is joint work with Samrat Roy, Will Bekerman, Marina Bogomolov, Ruth Heller, Zhimei Ren, Amy Claridge and Tishra Beeson.
Event venue & nearby stays
School of Social Work - Room 903, 1255 Amsterdam Avenue, New York, United States
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