The analysis of the influence of birth order and other factors in multiple birth data

Publisher Website
Google Scholar
Abstract
We compare three methods which can be used to analyse theinfluence of birth order and other factors on health outcomes inmultiple birth data. We consider marginal models based ongeneralized estimating equations (GEE) and two kinds ofconditional models; conditional logistic regression (CLR) andmixed effects models (MEM). Although the models may be writtensimilarly, there are differences in both the interpretation andthe numerical values assigned to the parameters. Our mainconclusion is that GEE and MEM are preferable to CLR since theyprovide more flexibility in dealing with missing values andcovariates. The choice between GEE and MEM is less obvious anddepends on the data, the parameter of interest and statisticalpower. Copyright © 2003 John Wiley & Sons, Ltd.

This publication has 12 references indexed in Scilit: