Abstract Details
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Activity Number:
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170
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #308005 |
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Title:
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Issues in Building Imputation Models for Missing Data Techniques
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Author(s):
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Robert D Small and Christele Augard*+
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Companies:
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Sanofi Pasteur and Sanofi Pasteur (France)
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Keywords:
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missing data ;
imputation ;
MI
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Abstract:
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In this paper we introduce a semi parametric method for imputing missing values when the distribution of the data is not known. The method is a version of the partial likelihood used in proportional hazard modeling in survival analyses. The various extensions (to time varying covariates for example) carry over even when the missing data are not time or positive data. We compare the method with methods assuming normality and evaluate it when the dependent variable is far from normal
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Authors who are presenting talks have a * after their name.
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