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414
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Wed, 8/5/2020,
1:00 PM -
2:50 PM
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Virtual
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Making Questions Relevant and Assumptions Realistic: New Strategies for Causal Mediation — Topic Contributed Papers
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Mental Health Statistics Section, Biometrics Section
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Organizer(s): Donna L Coffman, Temple University
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Chair(s): Donna L Coffman, Temple University
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1:05 PM
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Clarifying Causal Mediation Analysis for the Applied Researcher: Defining Effects Based on What We Want to Learn
Trang Nguyen, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
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1:25 PM
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Identifying Potential Mediating Variables Using Variable Importance Measures
Brian G Vegetabile, RAND Corporation; Donna L Coffman, Temple University; Daniel F McCaffrey, ETS
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1:45 PM
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Variable Selection for Causal Mediation Analysis Using LASSO-Based Methods
Yeying Zhu, University of Waterloo; Zhaoxin Ye, University of Waterloo; Donna L Coffman, Temple University
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2:05 PM
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A New Solution to the Problem of Posttreatment Confounding in Causal Mediation Analysis
Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Anschutz Medical Campus; Xu Qin, University of Pittsburgh; Stephen Raudenbush, University of Chicago
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2:25 PM
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Instrumental Variable Methods Using Dynamic Interventions
Jacqueline Mauro; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
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2:45 PM
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Floor Discussion
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