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.
Astorino, T. A., M. M. Schubert, E. Palumbo, D. Stirling, D. W.
McMillan, C. Cooper, J. Godinez, D. Martinez, and R. Gallant. 2013.
“Magnitude and Time Course of Changes in Maximal Oxygen Uptake in
Response to Distinct Regimens of Chronic Interval Training in Sedentary
Women.” Journal Article. Eur J Appl Physiol 113 (9):
2361–69. https://doi.org/10.1007/s00421-013-2672-1.
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.
Higgins, Julian PT, Tianjing Li, and Jonathan J Deeks. 2019.
“Choosing Effect Measures and Computing Estimates of
Effect.” Book Section. In Cochrane Handbook for Systematic
Reviews of Interventions, 143–76. https://doi.org/https://doi.org/10.1002/9781119536604.ch6.
Hopkins, W. G., J. A. Hawley, and L. M. Burke. 1999. “Design and
Analysis of Research on Sport Performance Enhancement.” Journal
Article. Med Sci Sports Exerc 31 (3): 472–85. https://doi.org/10.1097/00005768-199903000-00018.
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.
Loe, H., Ø Rognmo, B. Saltin, and U. Wisløff. 2013. “Aerobic
Capacity Reference Data in 3816 Healthy Men and Women 20-90
Years.” Journal Article. PLoS One 8 (5): e64319. https://doi.org/10.1371/journal.pone.0064319.
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.
Rafi, Zad, and Sander Greenland. 2020. “Semantic and Cognitive
Tools to Aid Statistical Science: Replace Confidence and Significance by
Compatibility and Surprise.” BMC Medical Research
Methodology 20 (1): 244. https://doi.org/10.1186/s12874-020-01105-9.
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.