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Weighted estimation equations and biostatistical modelling
by
Richard Huggins
La Trobe University
Many of the models encountered in biostatistics are complex and potentially involve a large number of parameters.
Using classical approaches these need to be simultaneously estimated and estimation quickly becomes computationally intractable.
Weighted estimating equations allow the local estimation of parameters and whilst a large number of parameters may be estimated they are not estimated simultaneously. Applications of this approach include the extension of closed population methods for the analysis of capture-recapture data to open populations and the analysis of longitudinal twin data.
Date received: January 24, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caij-10.