Obtaining marginal estimates from conditional categorical repeated measurements models with missing data.

Abstract

The most commonly used models for categorical repeated measurement data are log-linear models. Not only are they easy to fit with standard software but they include such useful models as Markov chains and graphical models. However, these are conditional models and one often also requires the marginal probabilities of responses, for example, at each time… (More)

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Cite this paper

@article{Lindsey2000ObtainingME, title={Obtaining marginal estimates from conditional categorical repeated measurements models with missing data.}, author={J. K. Lindsey}, journal={Statistics in medicine}, year={2000}, volume={19 6}, pages={801-9} }