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Modeling mortality rates in Malta using GEE models

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  • Liberato Camilleri
  • Kathleen England

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.

Suggested Citation

  • Liberato Camilleri & Kathleen England, 2019. "Modeling mortality rates in Malta using GEE models," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(1), pages 15-24, January.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:1:p:15-24
    DOI: 10.1080/03610926.2017.1386313
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