Dialogues on statistics in scientific publications

Author:

Khromov-Borisov N. N.1ORCID

Affiliation:

1. Commission for Combating Pseudoscience of the Expert Council of the Russian Academy of Sciences

Abstract

A critical analysis of the article by S. V. Mylnikov (Scientific Editor and Publisher. 2023;8(1 Suppl):S52–S61) in the form of a correspondence dialogue is conducted. Aspects such as frequentist and Bayesian point and interval estimation of the parameters of binomial and polynomial distributions, linear correlation coefficient (r), coefficient of determination (R2), linear regression parameters, difference (PD) and proportion ratio (RR), odds ratio (OR), estimation of minimum required sample sizes, advantages of statistical estimation based on bootstrap, random number generator, graphical methods of statistical analysis: décolleté and whisker boxes, probability plots, histograms, Gardner-Altman plots, rain clouds, corrections for multiple comparisons, complexities of correlation analysis, effect size, replication probabilities (prep, psrep and prerep), mid-p values, prediction intervals for p values, for effect sizes, and for combined effects in meta-analysis. A description of the programs recommended for solving the discussed statistical problems is presented.

Publisher

Association of Science Editors and Publishers

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