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Title: Modeling mortality rates in Malta using GEE models
Authors: Camilleri, Liberato
England, Kathleen
Keywords: Demographic surveys -- Malta
Population forecasting -- Malta
Demography -- Malta
Mortality -- Malta
Issue Date: 2019
Publisher: Tayolor & Francis
Citation: Camilleri, L., & England, K. (2019). Modeling mortality rates in Malta using GEE models. Communications in Statistics-Theory and Methods, 48(1), 15-24.
Abstract: Generalized estimating equation (GEE) models are extensions of generalized linear models by relaxing the assumption of independence. These models are appropriate to analyze correlated longitudinal responses that follow any distribution that is a member of the exponential family. This model is used to relate daily mortality rate of Maltese adults aged 65 years and over with a number of predictors, including apparent temperature, season, and year. The GEE model identifies a number of significant main and interaction effects on daily mortality rates and shows that mortality rate and temperature are related by a quadratic function.
Description: This paper was additionally presented at the Stochastic Modeling Techniques and Data Analysis International Conference in Valletta, Malta, 01-04/06/2016. Paper from the conference can be accessed via the the following link:
Appears in Collections:Scholarly Works - FacSciSOR

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