Simultaneous Treatment of Missing Data and Measurement Error in HIV Research Using Multiple Overimputation
Michael Schomaker,Sara Hogger,Leigh F. Johnson,Christopher J. Hoffmann,Till Bärnighausen,Christian Heumann-2015-07-25-Epidemiology
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TL;DRAbstract
Multiple overimputation, which can be used with existing software, offers a convenient approach to account for both missing and mismeasured data in HIV research.
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Multiple overimputation, which can be used with existing software, offers a convenient approach to account for both missing and mismeasured data in HIV research.
Keywords
Imputation (statistics)Viral loadHazard ratioMissing dataConfidence intervalStatisticsProportional hazards modelObservational error
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