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Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)
 

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Effect of dropouts in a longitudinal study: an application of a repeated ordinal model.

An analysis is presented of a longitudinal study of fluvoxamine, an antidepressant drug, with ordinal responses, regressed on a combination of discrete and continuous covariates and with a substantial proportion of dropouts. Classical methods, such as weighted least squares ( SAS procedure CATMOD) and logistic regression, are not suitable for the analysis of such data. Instead, we illustrate how a recently introduced model can be used to solve most of the problems posed. The method is likelihood-based and is an extension of the bivariate Dale model to an arbitrary number of outcomes. The method is suitable for several types of designs commonly employed in clinical trials.[1]

References

  1. Effect of dropouts in a longitudinal study: an application of a repeated ordinal model. Lesaffre, E., Molenberghs, G., Dewulf, L. Statistics in medicine. (1996) [Pubmed]
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