Načítá se...
Computational Techniques for Spatial Logistic Regression with Large Datasets
In epidemiological research, outcomes are frequently non-normal, sample sizes may be large, and effect sizes are often small. To relate health outcomes to geographic risk factors, fast and powerful methods for fitting spatial models, particularly for non-normal data, are required. I focus on binary...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2007
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2350194/ https://ncbi.nlm.nih.gov/pubmed/18443645 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2006.11.008 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|