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Activity Number:
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191
- Causal Inference
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Biometrics Section
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Abstract #309881
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Title:
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Impact of inconsistent imputation models in mediation analysis
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Author(s):
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Bo Ye* and Recai Yucel
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Companies:
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STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health and STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health
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Keywords:
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Mediation analysis;
missing data;
multiple imputation;
compatible imputation
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Abstract:
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We investigate the impact of possibly incoherent imputation models on mediation analyses. In particular, we discuss commonly used joint modelling approach as well as variable-by-variable approach when the ultimate analytical goal in mediation analysis. Practical advantages of each approach along with the discussion on coherence of the imputation model is our focal point in our manuscript. A comprehensive simulation study is summarized to gauge the performance of widely utilized imputation models.
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Authors who are presenting talks have a * after their name.
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