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Multivariate analysis of paired data: a review of methods for paired organ systems

Abstract:

Tests for paired data have been used extensively for assessing the treatment effect in studies involving paired organ systems (e.g. kidneys, eyes). However, there is considerable uncertainty when it comes to choose an appropriate multivariate regression model that would take into account the "within subject" clustering nature of these data. Robust sandwich estimate of the covariance matrix[1], generalized linear model[2] and use of mixed models and random effects[3] are some of the methods th...

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Publication status:
Not Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Department:
Oxford, MSD, Surgical Sciences, NDORMS, CSM
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Department:
Oxford, MSD, NDORMS, CSM
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Department:
St Johns College
Publication date:
2016-08-22
Acceptance date:
2016-05-05
Pubs id:
pubs:657450
URN:
uri:5655c6d4-b86b-4b09-89dc-9cf8262f01f2
UUID:
uuid:5655c6d4-b86b-4b09-89dc-9cf8262f01f2
Local pid:
pubs:657450

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