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Moreno-Montoya, J (2020)

Benford ́s Law with small sample sizes: A new exact test useful in health sciences during epidemics

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 &#769;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