📌✅ Modelamiento de relaciones no lineales en datos epidemiológicos: La aplicación e interpretación de los modelos spline" Los splines se ajustan mejor a los modelos no lineales que los métodos tradicionales como la regresión cuadrática, pero… https://t.co
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7. "Modeling non-linear relationships in epidemiological data: The application and interpretation of spline models". @FrontEpidemiol Splines fit non-linear models better than traditional methods like quadratic regression but may be harder to interpret ht
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I have the feeling that, during these last years, more papers used restricted cubic spline models to describe associations between health outcomes and physical activity metrics. The paper by Schuster et al (https://t.co/TDxi3Xot2t) was a nice introduction
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New Research: Modeling non-linear relationships in epidemiological data: The application and interpretation of spline models https://t.co/oKw4moLnsE #Epidemiology