ref [7] · 2609.07381 · notice #10970 · dispute
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5 (2014), pp. 881-899.doi: 10.1002/sim.5963. [6] Antonio Gasparrini. "Distributed lag linear and non-linear models in R: the package dlnm". In:Journal of Statistical Software43.8 (2011), pp. 1-20.doi:10.18637/jss.v043.i08. [7] Antonio Gasparrini et al. "A penalized framework for distributed lag non-linear models". In:Biometrics73.3 (2017), pp. 938-948.doi:10.1111/biom.12645. [8] Daniel Mork and Ander Wilson. "Treed distributed lag nonlinear models". In:Biostatistics 23.3 (2022), pp. 754-771.doi:10.1093/biostatistics/kxaa051. [9] Chao-Yu Guo, Tse-Wei Liu, and Yi-Hau Chen. "A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors". In:PLOS ONE16.1 (2021), e0244094.doi:10.
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5 (2014), pp. 881-899.doi: 10.1002/sim.5963. [6] Antonio Gasparrini. "Distributed lag linear and non-linear models in R: the package dlnm". In:Journal of Statistical Software43.8 (2011), pp. 1-20.doi:10.18637/jss.v043.i08. [7] Antonio Gasparrini et al. "A penalized framework for distributed lag non-linear models". In:Biometrics73.3 (2017), pp. 938-948.doi:10.1111/biom.12645. [8] Daniel Mork and Ander Wilson. "Treed distributed lag nonlinear models". In:Biostatistics 23.3 (2022), pp. 754-771.doi:10.1093/biostatistics/kxaa051. [9] Chao-Yu Guo, Tse-Wei Liu, and Yi-Hau Chen. "A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors". In:PLOS ONE16.1 (2021), e0244094.doi:10