The bias for statistical significance in sport and exercise medicine.

[1]  Valentin Amrhein,et al.  Why and how we should join the shift from significance testing to estimation , 2022, Journal of evolutionary biology.

[2]  Christopher McCrum,et al.  Nature of Our Literature , 2021, Communications in Kinesiology.

[3]  A. Jette,et al.  Statistical inference through estimation: recommendations from the International Society of Physiotherapy Journal Editors. , 2021, Journal of physiotherapy.

[4]  S. Greenland,et al.  Addressing exaggeration of effects from single RCTs , 2021, Significance.

[5]  A. Williams,et al.  Registered Reports in the Journal of Sports Sciences , 2021, Journal of sports sciences.

[6]  Joshua J. Bon,et al.  Female (Under) Representation in Exercise Thermoregulation Research , 2021, Sports Medicine - Open.

[7]  Eric A. Cator,et al.  The significance filter, the winner's curse and the need to shrink , 2020, Statistica Neerlandica.

[8]  Anne M. Scheel Registered Reports: a process to safeguard high-quality evidence , 2020, Quality of Life Research.

[9]  Aaron R. Caldwell,et al.  Call to increase statistical collaboration in sports science, sport and exercise medicine and sports physiotherapy , 2020, British Journal of Sports Medicine.

[10]  E. Delahunt,et al.  Are questionable research practices facilitating new discoveries in sport and exercise medicine? The proportion of supported hypotheses is implausibly high , 2020, British Journal of Sports Medicine.

[11]  Daniel S Quintana,et al.  A synthetic dataset primer for the biobehavioural sciences to promote reproducibility and hypothesis generation , 2020, eLife.

[12]  Anne M. Scheel,et al.  An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports , 2020, Advances in Methods and Practices in Psychological Science.

[13]  S. Greenland,et al.  Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise , 2019, 1909.08579.

[14]  Matthew W. Miller,et al.  Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices , 2019, Sports Medicine.

[15]  Kohske Takahashi,et al.  Welcome to the Tidyverse , 2019, J. Open Source Softw..

[16]  Jonathan D Wren,et al.  Examination of CIs in health and medical journals from 1976 to 2019: an observational study , 2019, BMJ Open.

[17]  F. Impellizzeri,et al.  Registered reports coming soon: our contribution to better science in football research , 2019, Science and Medicine in Football.

[18]  David Gal,et al.  Abandon Statistical Significance , 2017, The American Statistician.

[19]  Ian B Stewart,et al.  Bayesian Methods Might Solve the Problems with Magnitude-based Inference. , 2018, Medicine and science in sports and exercise.

[20]  George Hripcsak,et al.  Improving reproducibility by using high-throughput observational studies with empirical calibration , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[21]  Jonathan D. Wren,et al.  Algorithmic identification of discrepancies between published ratios and their reported confidence intervals and P‐values , 2018, Bioinform..

[22]  Sander Greenland,et al.  Invited Commentary: The Need for Cognitive Science in Methodology , 2017, American journal of epidemiology.

[23]  David J. Winter,et al.  rentrez: An R package for the NCBI eUtils API , 2017, R J..

[24]  Torrin M. Liddell,et al.  The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective , 2017, Psychonomic Bulletin & Review.

[25]  K. Lohse,et al.  Researchers’ Perceptions of Statistical Significance Contribute to Bias in Health and Exercise Science , 2016 .

[26]  Jeffrey N. Rouder,et al.  The fallacy of placing confidence in confidence intervals , 2015, Psychonomic bulletin & review.

[27]  David Colquhoun,et al.  An investigation of the false discovery rate and the misinterpretation of p-values , 2014, Royal Society Open Science.

[28]  Leif D. Nelson,et al.  p-Curve and Effect Size , 2014, Perspectives on psychological science : a journal of the Association for Psychological Science.

[29]  Jeffrey N. Rouder,et al.  Robust misinterpretation of confidence intervals , 2013, Psychonomic bulletin & review.

[30]  J. Ranstam Why the P-value culture is bad and confidence intervals a better alternative. , 2012, Osteoarthritis and cartilage.

[31]  R. Brand,et al.  Testing for the presence of positive-outcome bias in peer review: a randomized controlled trial. , 2010, Archives of internal medicine.

[32]  Magdalena Szumilas Explaining odds ratios. , 2010, Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent.

[33]  D. Fanelli How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data , 2009, PloS one.