Proceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022
Start Page
69
End Page
74
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022 (2022) , 69-74
Suggested Citation
Nguyen M.T.N., Nguyen M.V.M. Application of Thin-plate Spline and Distributed Lag Non-linear Model to Describe the Interactive Effect of Two Predictors on Count Outcomes. Proceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022 (2022) , 69-74. 74. doi:10.1109/NICS56915.2022.10013444 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/84610
Title
Application of Thin-plate Spline and Distributed Lag Non-linear Model to Describe the Interactive Effect of Two Predictors on Count Outcomes
This study illustrates a new version of the distributed lag non-linear model by integrating it with the thin-plate smoothing spline. The new model is called 'the thin-plate distributed lag non-linear model' and helps explore the lagged interactive effect of two predictors on the outcome. Through simulation, it is found that the thin-plate distributed lag non-linear model has superior performance. We apply the proposed model to analyze the mutual effect of diurnal temperature and absolute humidity on daily mortality of realistic data.
