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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Materias: | |
| 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 |