Revista de la Universidad Industrial de Santander. Salud UIS vol. 52(2), pp. 161-163.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: Benford or “first digit” law has been used successfully to evaluate epidemiological surveillance systems, especially during epidemics. Conventional statistical methods for evaluation (x2 and log-likelihood ratio) are controversial when the number of data is small (n <7). In this methodological note a new test is proposed to evaluate compliance with Benford’s law with small samples, which can be used with biomedical, medical and public health data.
Bibtex:
@article{,
author = {Jos{\'e} Moreno-Montoya},
title = {Benford ́s Law with small sample sizes: A new exact test useful in health sciences during epidemics},
year = {2020},
journal = {Revista de la Universidad Industrial de Santander. Salud UIS},
volume = {52},
number = {2},
pages = {161--163},
doi = {10.18273/revsal.v52n2-2020010},
url = {https://dialnet.unirioja.es/servlet/articulo?codigo=7476101},
}
Reference Type: Journal Article
Subject Area(s): Medical Sciences, Statistics