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.
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