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The Poisson regression model is often used as a first model for
count data with covariates. Since this model is a GLM with
canonical link, regression parameters can be easily fitted using
standard software. However the model requires equidispersion,...
01.01.2002
A crucial task in modern genetic medicine is the understanding of
complex genetic diseases. The main complicating features are that a
combination of genetic and environmental risk factors is involved,
and the phenotype of interest may be complex. Tra...
We investigate the geographical and socioeconomic determinants of
childhood undernutrition in Malawi, Tanzania and Zambia, three
neighboring countries in Southern Africa using the 1992 Demographic
and Health Surveys. We estimate models of undernutrit...
This paper gives a detailed overview of the problem of missing data
in parametric and nonparametric regression. Theoretical basics,
properties as well as simulation results may help the reader to get
familiar with the common problem of incomplete dat...
Nonignorable nonresponse is a common problem in bivariate or
multivariate data. Here a selection model for bivariate normal
distributed data (Y1 ; Y2) is proposed. The missingness of Y2 is
supposed to depend on its own values. The model for missingne...
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