| Autor: |
Nguyen, Mien T. N., Nguyen, Vu A., Nguyen, Man V. M. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3123 Issue 1, p1-8, 8p |
| Abstrakt: |
The distributed lag nonlinear model (DLNM) effectively describes the nonlinear and delayed effects in time-series investigations about some environmental exposures and health outcomes. In DLNM, nonparametric smooth functions are employed to fit the delayed nonlinear relationships between the continuous predictors and the count-dependent variable. This study focused on the cubic B-splines and cubic polynomials as reparameterization tools for these smooth functions. Furthermore, for each scenario, we apply two frameworks of the DLNM, including the classical DLNM and the penalized DLNM. A simulation study is undertaken to evaluate how well these proposed models perform, using criteria such as mean squared errors, mean absolute errors, and AIC. The penalized DLNM with a B-spline basis achieves the best performance in predicting the outcome. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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