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Revista de la Universidad Industrial de Santander. Salud
versión impresa ISSN 0121-0807versión On-line ISSN 2145-8464
Resumen
MORENO-MONTOYA, José. Benford´s Law with small sample sizes: A new exact test useful in health sciences during epidemics. Rev. Univ. Ind. Santander. Salud [online]. 2020, vol.52, n.2, pp.161-163. Epub 18-Mar-2020. ISSN 0121-0807. https://doi.org/10.18273/revsal.v52n2-2020010.
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.
Palabras clave : Analysis of data; Epidemics; COVID-19 infection; Public health emerging infections..