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Activity Number:
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375
- Causal Estimand in Clinical Trials
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 10, 2022 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract #320834
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Title:
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Covariate Adjustment and Missing Data in Clinical Trials
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Author(s):
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Daniel Rubin*
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Companies:
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U.S. Food and Drug Administration
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Keywords:
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Abstract:
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While the main goal of adjusting for baseline covariates in randomized clinical trials is often to improve the precision of treatment effect estimation, adjusted methods can also have advantages relative to unadjusted methods in terms of accounting for missing data. This presentation will discuss several recommendations for implementing covariate adjustment in the presence of missing covariates or outcomes.
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Authors who are presenting talks have a * after their name.
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