- PII
- S3034552925040054-1
- DOI
- 10.7868/S3034552925040054
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 61 / Issue number 4
- Pages
- 260-268
- Abstract
- This second article in the editorial series serves as a practical guide to applying statistics in experimental physiology and biochemistry research. We frame statistical analysis as a continuous process, beginning at the experimental design stage with sample size justification and statistical power calculation. The article provides a detailed strategy for handling outliers, combining both visual and formal methods for their detection and analysis. A clear algorithm for selecting parametric and non-parametric tests, based on data type and study design, is presented and supported by illustrative tables. Significant attention is paid to the correct interpretation and presentation of results, including the reporting of exact p-values, effect sizes, and confidence intervals. A dedicated section analyzes common errors and contentious issues (e.g., multiple comparisons, p-hacking, confusion between replication types) that undermine the reliability of conclusions. The overarching goal of this material is to provide authors with a comprehensive framework that enhances the methodological rigor, transparency, and reproducibility of their research at all stages—from initial design to final publication.
- Keywords
- статистическая мощность размер выборки планирование эксперимента дисперсионный анализ (ANOVA) множественные сравнения воспроизводимость результатов биостатистика ошибки статистического анализа
- Date of publication
- 23.09.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 26
References
- 1. Hulley SB, Cummings SR, Browner WS, Grady Deborah, Newman TB (2013) Designing clinical research. Wolters Kluwer Health/Lippincott Williams & Wilkins.
- 2. Faul F, Erdfelder E, Buchner A, Lang A-G (2009) Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res Methods 41: 1149–1160.
- 3. Faul F, Erdfelder E, Lang A-G, Buchner A (2007) G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39: 175–191.
- 4. Derkach KV, Zorina II, Fedorchuk IV, Shpakov AO (2025) Effect of Four-Weck Semaglutide Therapy and Its Combination with Intranasal Insulin on Thyroid and Gonadal Status in Male Rats with Type 2 Diabetes. J Evol Biochem Physiol 61: 751–763.
