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

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

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Bibliographische Detailangaben
Veröffentlicht in:	Salud UIS 2020-06, Vol.52 (2), p.161-163
1. Verfasser:	Moreno Montoya, José
Format:	Artikel
Sprache:	eng
Schlagworte:	19 infection Analysis of data Análisis de datos COVID Epidemia Epidemics Infecciones emergentes en salud pública Infección con COVID Public health emerging infections PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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
ISSN:	0121-0807 2145-8464 2145-8464
DOI:	10.18273/revsal.v52n2-2020010