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[Analysis of mortality time trend using generalized linear models]
Xavi Puig1, Josep Ginebra, Rosa Gispert
1Servei d'Informació i Estudis, Departament de Salut, Generalitat de Catalunya, Barcelona, España. xavier.puig@upc.edu
Gaceta Sanitaria
|February 18, 2006
Summary
Generalized linear models reveal distinct mortality evolution patterns. Breast cancer mortality in Catalonia increased then decreased, with older groups seeing decreases sooner.
Area of Science:
- Biostatistics
- Epidemiology
- Public Health
Context:
- Analysis of temporal trends in mortality data.
- Focus on female breast cancer mortality in Catalonia (1986-2000).
Purpose:
- To demonstrate the utility of generalized linear models (GLMs) for analyzing mortality data evolution.
- To interpret patterns in breast cancer mortality trends across different age groups.
Summary:
- Generalized linear models effectively describe complex temporal mortality patterns with clear interpretation.
- Observed a U-shaped mortality trend for female breast cancer across all age groups in Catalonia.
- Older age groups exhibited a more recent year for the onset of decreasing breast cancer mortality rates.
Impact:
- Provides a flexible statistical framework for epidemiological mortality studies.
- Highlights specific trends in breast cancer mortality, informing public health interventions.
- Suggests age-specific nuances in the effectiveness of interventions or changes in risk factors.