References

Altman, D. G., and J. M. Bland. 1999. “Statistics Notes: Variables and Parameters.” BMJ (Clinical Research Ed.) 318 (7199): 1667. https://doi.org/10.1136/bmj.318.7199.1667.

Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using Lme4.” Journal of Statistical Software 67 (1): 48. https://doi.org/10.18637/jss.v067.i01.

Broman, Karl W., and Kara H. Woo. 2018. “Data Organization in Spreadsheets.” Journal Article. The American Statistician 72 (1): 2–10. https://doi.org/10.1080/00031305.2017.1375989.

Efron, Bradley, and Carl Morris. 1975. “Data Analysis Using Stein’s Estimator and Its Generalizations.” Journal of the American Statistical Association 70 (350): 311–19. https://doi.org/10.1080/01621459.1975.10479864.

Hammarström, Daniel, Sjur Øfsteng, Lise Koll, Marita Hanestadhaugen, Ivana Hollan, William Apró, Jon Elling Whist, Eva Blomstrand, Bent R. Rønnestad, and Stian Ellefsen. 2020. “Benefits of Higher Resistance-Training Volume Are Related to Ribosome Biogenesis.” Journal Article. The Journal of Physiology 598 (3): 543–65. https://doi.org/10.1113/JP278455.

Haun, C. T., C G. Vann, C. Brooks Mobley, Shelby C. Osburn, Petey W. Mumford, Paul A. Roberson, Matthew A. Romero, et al. 2019. “Pre-Training Skeletal Muscle Fiber Size and Predominant Fiber Type Best Predict Hypertrophic Responses to 6 Weeks of Resistance Training in Previously Trained Young Men.” Journal Article. Frontiers in Physiology 10 (297). https://doi.org/10.3389/fphys.2019.00297.

Haun, C. T., C. G. Vann, C. B. Mobley, P. A. Roberson, S. C. Osburn, H. M. Holmes, P. M. Mumford, et al. 2018. “Effects of Graded Whey Supplementation During Extreme-Volume Resistance Training.” Journal Article. Front Nutr 5: 84. https://doi.org/10.3389/fnut.2018.00084.

Ioannidis, John P. A. 2005. “Why Most Published Research Findings Are False.” PLOS Medicine 2 (8): e124. https://doi.org/10.1371/journal.pmed.0020124.

Lakens, Daniël. 2021. “The Practical Alternative to the p Value Is the Correctly Used p Value.” Perspectives on Psychological Science 16 (3): 639–48. https://doi.org/10.1177/1745691620958012.

Leek, J. T., and R. D. Peng. 2015. “Statistics: P Values Are Just the Tip of the Iceberg.” Journal Article. Nature 520 (7549): 612. https://doi.org/10.1038/520612a.

McShane, Blakeley B., David Gal, Andrew Gelman, Christian Robert, and Jennifer L. Tackett. 2019. “Abandon Statistical Significance.” The American Statistician 73 (sup1): 235–45. https://doi.org/10.1080/00031305.2018.1527253.

Navarro, D. 2020. Learning Statistics with r.

Newell, J., D. Higgins, N. Madden, J. Cruickshank, J. Einbeck, K. McMillan, and R. McDonald. 2007. “Software for Calculating Blood Lactate Endurance Markers.” Journal Article. Journal of Sports Sciences 25 (12): 1403–9. https://doi.org/10.1080/02640410601128922.

Peng, R. D. 2011. “Reproducible Research in Computational Science.” Journal Article. Science 334 (6060): 1226–27. https://doi.org/10.1126/science.1213847.

Peng, R. D., F. Dominici, and S. L. Zeger. 2006. “Reproducible Epidemiologic Research.” Journal Article. Am J Epidemiol 163 (9): 783–89. https://doi.org/10.1093/aje/kwj093.

Pinheiro, José C., and Douglas M. Bates. 2000. Mixed-Effects Models in S and S-PLUS. Statistics and Computing. New York: Springer.

Sokal, Robert R., and F. James Rohlf. 2012. Biometry : The Principles and Practice of Statistics in Biological Research. [Extensively rev.] 4th. New York: W.H. Freeman.

Spiegelhalter, D. J. 2019a. The Art of Statistics : How to Learn from Data. Book. First US edition. New York: Basic Books.

———. 2019b. The Art of Statistics : How to Learn from Data. Book. First US edition. New York: Basic Books.

Stephen, G. Powell, R. Baker Kenneth, and Lawson Barry. 2009. “Errors in Operational Spreadsheets.” Journal Article. Journal of Organizational and End User Computing (JOEUC) 21 (3): 24–36. https://doi.org/10.4018/joeuc.2009070102.

Wagenmakers, Eric-Jan, Šimon Kucharský, Johnny Van Doorn, and Don Van Den Bergh. 2023. “Accessible and Sustainable Statistics with JASP.” PsyArXiv. https://doi.org/10.31234/osf.io/ud2vj.

Wasserman, Karlman, ed. 2005. Principles of Exercise Testing and Interpretation: Including Pathophysiology and Clinical Applications. 4. ed., [Nachdr.]. Philadelphia: Lippincott Williams & Wilkins.

Wasserstein, Ronald L., Allen L. Schirm, and Nicole A. Lazar. 2019. “Moving to a World Beyond ‘ p < 0.05’.” The American Statistician 73 (sup1): 1–19. https://doi.org/10.1080/00031305.2019.1583913.

Wickham, Hadley. 2014. “Tidy Data.” Journal Article. Journal of Statistical Software; Vol 1, Issue 10 (2014). https://www.jstatsoft.org/v059/i10.

Yuan, ChunHong. 2025. “University Football Injury Prediction Dataset.” Kaggle. https://doi.org/10.34740/KAGGLE/DSV/12653694.

Ziemann, Mark, Yotam Eren, and Assam El-Osta. 2016. “Gene Name Errors Are Widespread in the Scientific Literature.” Journal Article. Genome Biology 17 (1): 177. https://doi.org/10.1186/s13059-016-1044-7.