Cargando…
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping
We introduce a method called neighbor-based bootstrapping (NB2) that can be used to quantify the geospatial variation of a variable. We applied this method to an analysis of the incidence rates of disease from electronic medical record data (International Classification of Diseases, Ninth Revision c...
Autores principales: | Patterson, Maria T., Grossman, Robert L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647508/ https://www.ncbi.nlm.nih.gov/pubmed/28933946 http://dx.doi.org/10.1089/big.2017.0028 |
Ejemplares similares
-
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator
por: Fattorini, Lorenzo, et al.
Publicado: (2021) -
Bootstrap percolation on spatial networks
por: Gao, Jian, et al.
Publicado: (2015) -
An introduction to the bootstrap
por: Efron, Bradley, et al.
Publicado: (1993) -
Bootstrap
por: Spurlock, Jake
Publicado: (2013) -
Large transverse momenta from statistical bootstrap with spin
por: Hagedorn, Rolf, et al.
Publicado: (1977)