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Title	New insights into the effects of error-prone exposure in the analysis of longitudinal studies with mixed models (TG4)
Creator	Victor Kipnis
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-06-04T09:52
Description	Mixed effects models have become one of the major approaches to the analysis of longitudinal studies. Random effects in those models play a twofold role. First, they address heterogeneity among individual temporal trajectories, and, second, they induce a correlational structure among temporal observations of the same subject. If both the exposure and outcome vary with time, it is natural to specify mixed effects model for both. If heterogeneity in temporal trajectories is related to unknown subject-level confounders, the corresponding random effects will be correlated, inducing correlation between random effects in the outcome model and the exposure. In this case, there are three different effects of the exposure on outcome, the within-subject or individual level effect, the between-subject effect of mean individual exposure, and the marginal or the population-average effect. If the existing correlation between random effects and exposure is ignored, the estimated exposure effect(s) will be biased. If exposure is measured with error, there will always be a nonzero correlation between random effects in the outcome model and error-prone exposure, even if this correlation was zero in the model with true exposure. Due to this critical result, the unbiased estimation of the effect of measurement error in the mixed model requires taking the correlation between random effects and error-prone exposure into account. Theoretical developments are exemplified by the analysis of data on physical activity energy expenditure from a large validation study of different physical activity instruments using doubly labeled water as unbiased reference measurements.
Extent	14.0 minutes
Subject	Mathematics Statistics
Geographic Location	Banff (Alta.)
Type	Moving Image
FileFormat	video/mp4
Language	eng
Notes	Author affiliation: National Cancer Institute
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-12-02
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0386669
URI	http://hdl.handle.net/2429/72483
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
AggregatedSourceRepository	DSpace

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