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Novosel, D and Alanović, M (2020)

Analysis of Consistency of Prime-boost Covid-19 Baseline and Safety Data

Acta Scientific Medical Sciences 4(12), pp. 81-82.

ISSN/ISBN: 2582-0931 DOI: Not available at this time.

Abstract: Recently, some concerns [1-3] have been raised about the reliability of data presented in the current paper [4], which reported results from a non-randomised phase 1/2 study of a novel vaccine from Russia. The critics of the study [4] concentrated on potential data inconsistencies [1-3] in figures and analyzed them visually (here we ignore theoretical discussions about special features of the vaccine and/or vector). However, the baseline data and results of the safety data should be considered as well. Benford’s law (also known as the Newcomb-Benford Law, the law of anomalous numbers, and the first-digit law) is used in data analysis, particularly in financial analysis and fraud detection as well as the analysis of medical data [5].

@article{, author = {Dragutin Novosel and Matija Alanovic}, title = {Analysis of Consistency of Prime-boost Covid-19 Baseline and Safety Data}, journal = {Acta Scientific Medical Sciences}, volume = {4}, number = {12}, year = {2020}, pages = {81--82}, url = {}, }

Reference Type: Letter to Editor

Subject Area(s): Biology, Medical Sciences