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Highlights of Conference Reports
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Highlights of Perspectives and Research Resources
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1997-98 2014 |
 Thirteen vignettes of trail-blazing exercise physiologists, contributed by Frank Katch to the then Sportscience News 1997-1998. See also his Exercise Physiology: The Last 2500 Years in 2014. |
2007 |
Understanding Statistics by Using Spreadsheets to Generate and Analyze Samples. Will Hopkins. Implicit learning of all the important biomedical stats concepts. |
2007-22 |
A Spreadsheet for Deriving a Confidence Interval, Mechanistic Inference and Clinical Inference from a P Value. Will Hopkins. An old resource updated with new insights about sample-based research. |
2009 2014 |
Progressive Statistics. Will Hopkins, Alan Batterham, Stephen Marshall, and Juri Hanin. Current best practice in data analysis and presentation. |
2010-19 |
Linear Models and Effect Magnitudes for Research, Clinical and Practical Applications. Will Hopkins. Theory and advice on data analysis and interpretation. |
2015-24 |
Spreadsheets for Analysis of Validity and Reliability. Will Hopkins. New one- and two-way reliability analyses, and a citable article. |
2020 |
Sample-size Estimation for Various Inferential Methods. Will Hopkins. Methods for MBD, NHST, superiority testing and equivalence testing, with explanations and advice. |
2022 |
Replacing Statistical Significance and Non-Significance with Better Approaches to Sampling Uncertainty. Will Hopkins. Interpret confidence limits, test substantial and non-substantial hypotheses, and/or use Bayesian probabilities for substantial and trivial. |
2023 |
How to Identify and Specify Fixed and Random Effects for Linear Mixed Models in the Statistical Analysis System. Will Hopkins. Data, variables, effects and analyses explained and exemplified with simulations in 15 programs. |
2024 |
Confidence Intervals and Meta-analysis Resolve the Replication Crisis. Will Hopkins. Proper consideration of effect uncertainty shows that replication failures are expected and explained as effect heterogeneity in a random-effect meta-regression. |
| Misuse of Standardization to Meta-analyze Differences in Means. Will Hopkins, Dave Rowlands. The right standard deviations are used to standardize in only ~10% of published meta-analyses. | |
| A spreadsheet for technical error and biological variability. Will Hopkins, Basilio Pueo. Use it for simultaneous measurements with two devices in a reliability study. |
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Scholar indexes Sportscience. Use its settings to access journal PDFs and import citations. |
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