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

Record type: Article

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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Citation

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), pp. 152-153.

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: 17 Jul 2017 16:09

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