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Modelling high dimensional sets of binary co-morbidities

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conference contribution
posted on 2013-01-08, 15:00 authored by Susana Conde, Gilbert MackenzieGilbert Mackenzie
The construction of classical co-morbidity indices is described. When the co-morbidities are binary we advocate the use of log-linear models which better capture the dependence structure in the data. We use R to implement new search strategies which enable us to analyse, sparse, high dimensional contingency tables rapidly and hence identify the best fitting models. We apply our new algorithms to a set of real medical data.

History

Publication

Proceedings of the 22nd International Workshop on Statistical Modelling;

Publisher

IWSM

Note

peer-reviewed

Language

English

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