Geographically weighted temporally correlated logistic regression model

Detecting the temporally and spatially varying correlations is important to understand the biological and disease systems. Here we proposed a geographically weighted temporally correlated logistic regression (GWTCLR) model to identify such dynamic correlation of predictors on binomial outcome data,...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Lam, Kwok-Fai, Wu, Joseph T., Lam, Tommy Tsan-Yuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780421/
https://www.ncbi.nlm.nih.gov/pubmed/29362396
http://dx.doi.org/10.1038/s41598-018-19772-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780421/
https://www.ncbi.nlm.nih.gov/pubmed/29362396
http://dx.doi.org/10.1038/s41598-018-19772-6

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