This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Sithole, J. S Articles by Jones, P. W Search for Related Content PubMed PubMed Citation Articles by Sithole, J. S Articles by Jones, P. W Social Bookmarking                         What's this?

Analysis of a Bayesian repeated measures model for detecting differences in GP prescribing habits

MRC Institute of Hearing Research, University Park, Nottingham, NG7 2RD, UK, j.sithole{at}ihr.mrc.ac.uk

Peter W Jones

Mathematics Department, Keele University, Stoke on Trent, UK

A linear mixed model is used to detect a change, if any, in the prescribing habits in the UK at the general practice (family medicine) level due to an educational intervention given repeated measures data before and after the intervention and a control group. Inferences are corrected for general practice size and fundholding status. The estimates of the model parameters are obtained using Bayesian inference by applying Gibbs sampling. We develop three different priors for the parameters of the model. These three priors correspond to ‘sceptical,’ ‘reference’ and ‘enthusiastic’ priors in terms of the opinion about the treatment effects that they represent. We compare the results obtained by using these three priors for the parameters in the random effects model.

Statistical Methods in Medical Research, Vol. 12, No. 6, 475-487 (2003)
DOI: 10.1191/0962280203sm320ra


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?