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Statistical analysis of data in support of the Barker hypothesis, advantages of using random effects regression model in hierarchical data

Statistical analysis of data in support of the Barker hypothesis, advantages of using random effects regression model in hierarchical data
Statistical analysis of data in support of the Barker hypothesis, advantages of using random effects regression model in hierarchical data
In a recent note by Walters and Edwards (2004), the authors argued that summary statistics should be used in analysing hierarchical data from our earlier analysis of a rat model of developmental programming and the Barker hypothesis (Kwong et al., 2000, 2004). We reiterate here why such a view is inappropriate. Hierarchical data merits multilevel analysis using a 'random effects' model to enable estimation of variances at different levels and easy assessment of other parameters in a complex data structure.
barker hypothesis, statistics
1472-6483
152-153
Osmond, C.
2677bf85-494f-4a78-adf8-580e1b8acb81
Kwong, W.Y.
8c0db2b8-e2c0-46ea-b5d6-4ad632938062
Fleming, T.P.
1431b2dc-b145-4bc2-aea4-bc360fc370e9
Osmond, C.
2677bf85-494f-4a78-adf8-580e1b8acb81
Kwong, W.Y.
8c0db2b8-e2c0-46ea-b5d6-4ad632938062
Fleming, T.P.
1431b2dc-b145-4bc2-aea4-bc360fc370e9

Osmond, C., Kwong, W.Y. and Fleming, T.P. (2005) Statistical analysis of data in support of the Barker hypothesis, advantages of using random effects regression model in hierarchical data. Reproductive BioMedicine Online, 10 (2), 152-153.

Record type: Article

Abstract

In a recent note by Walters and Edwards (2004), the authors argued that summary statistics should be used in analysing hierarchical data from our earlier analysis of a rat model of developmental programming and the Barker hypothesis (Kwong et al., 2000, 2004). We reiterate here why such a view is inappropriate. Hierarchical data merits multilevel analysis using a 'random effects' model to enable estimation of variances at different levels and easy assessment of other parameters in a complex data structure.

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More information

Published date: 2005
Keywords: barker hypothesis, statistics

Identifiers

Local EPrints ID: 25864
URI: http://eprints.soton.ac.uk/id/eprint/25864
ISSN: 1472-6483
PURE UUID: f442a946-62d3-4685-bcb0-a73f7ad50dbe
ORCID for C. Osmond: ORCID iD orcid.org/0000-0002-9054-4655

Catalogue record

Date deposited: 12 Apr 2006
Last modified: 09 Jan 2022 02:49

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Contributors

Author: C. Osmond ORCID iD
Author: W.Y. Kwong
Author: T.P. Fleming

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