Application of Thin-plate Spline and Distributed Lag Non-linear Model to Describe the Interactive Effect of Two Predictors on Count Outcomes

dc.contributor.authorNguyen M.T.N.
dc.contributor.authorNguyen M.V.M.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:12:03Z
dc.date.available2023-06-18T17:12:03Z
dc.date.issued2022-01-01
dc.description.abstractThis 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.
dc.identifier.citationProceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022 (2022) , 69-74
dc.identifier.doi10.1109/NICS56915.2022.10013444
dc.identifier.scopus2-s2.0-85147332934
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/84610
dc.rights.holderSCOPUS
dc.subjectEngineering
dc.titleApplication of Thin-plate Spline and Distributed Lag Non-linear Model to Describe the Interactive Effect of Two Predictors on Count Outcomes
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85147332934&origin=inward
oaire.citation.endPage74
oaire.citation.startPage69
oaire.citation.titleProceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022
oairecerif.author.affiliationMahidol University

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