Quantifying temporal trends of age-standardized rates with odds

BACKGROUND: To quantify temporal trends in age-standardized rates of disease, the convention is to fit a linear regression model to log-transformed rates because the slope term provides the estimated annual percentage change. However, such log-transformation is not always appropriate. METHODS: We pr...

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Detalles Bibliográficos
Autores principales: Tan, Chuen Seng, Støer, Nathalie, Ning, Yilin, Chen, Ying, Reilly, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299543/
https://www.ncbi.nlm.nih.gov/pubmed/30563536
http://dx.doi.org/10.1186/s12963-018-0173-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299543/
https://www.ncbi.nlm.nih.gov/pubmed/30563536
http://dx.doi.org/10.1186/s12963-018-0173-5

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