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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5780421/ https://ncbi.nlm.nih.gov/pubmed/29362396 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-19772-6 |
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