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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

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
St John's College
Role:
Author
Host title:
International Society for Clinical Biostatistics 2016 Conference
Publication date:
2016-08-22
Acceptance date:
2016-05-05
Event location:
ICC Birmingham
Event start date:
2016-08-21
Event end date:
2016-08-24
Source identifiers:
657450
Pubs id:
pubs:657450
UUID:
uuid:5655c6d4-b86b-4b09-89dc-9cf8262f01f2
Local pid:
pubs:657450
Deposit date:
2017-04-03

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