The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
“The Stippling Shows Statistically Significant Grid Points”: How Research Results are Routinely Overstated and Overinterpreted, and What to Do about It
Abstract
Special care must be exercised in the interpretation of multiple statistical hypothesis tests—for example, when each of many tests corresponds to a different location. Correctly interpreting results of multiple simultaneous tests requires a higher standard of evidence than is the case when evaluating results of a single test, and this has been known in the atmospheric sciences literature for more than a century. Even so, the issue continues to be widely ignored, leading routinely to overstatement and overinterpretation of scientific results, to the detriment of the discipline. This paper reviews the history of the multiple-testing issue within the atmospheric sciences literature and illustrates a statistically principled and computationally easy approach to dealing with it—namely, control of the false discovery rate.
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Cites
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Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Statistical Methods in the Atmospheric Sciences
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Lund, R. B., von Storch, H., & Zwiers, F. W. (2000) · Journal of the American Statistical Association · doi:10.2307/2669798 · Cited by 2,741
Statistical Analysis in Climate Research
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Observations: Atmosphere and Surface
(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.008 · Cited by 1,430
Statistical Field Significance and its Determination by Monte Carlo Techniques
Livezey, R. E., & Chen, W. Y. (1983) · Monthly Weather Review · doi:10.1175/1520-0493(1983)111<0046:sfsaid>2.0.co;2 · Cited by 1,153
Statistical Methods in the Atmospheric Sciences
(2011) · International Geophysics · doi:10.1016/c2010-0-65519-2 · Cited by 1,063
Statistical methods in the atmospheric sciences
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Self-citationOn “Field Significance” and the False Discovery Rate
Wilks, D. S. (2006) · Journal of Applied Meteorology and Climatology · doi:10.1175/jam2404.1 · Cited by 531
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Evidence of anthropogenic impacts on global drought frequency, duration, and intensity
Chiang, F., Mazdiyasni, O., & AghaKouchak, A. (2021) · Nature Communications · doi:10.1038/s41467-021-22314-w · Cited by 689
Scheuerer, M., Switanek, M. B., Worsnop, R. P., & Hamill, T. M. (2020) · Monthly Weather Review · doi:10.1175/mwr-d-20-0096.1 · Cited by 82
Increased Occurrence of Record‐Wet and Record‐Dry Months Reflect Changes in Mean Rainfall
Lehmann, J., Mempel, F., & Coumou, D. (2018) · Geophysical Research Letters · doi:10.1029/2018gl079439 · Cited by 51
Tully, C., Neubauer, D., Omanovic, N., & Lohmann, U. (2022) · Atmospheric Chemistry and Physics · doi:10.5194/acp-22-11455-2022 · Cited by 26
Delgado-Torres, C., Donat, M., Soret, A., Gonzalez-Reviriego, N., Bretonnière, P.-A., Ho, A.-C., Pérez-Zanón, N., Samsó, M., & Doblas-Reyes, F. J. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/acbbe1 · Cited by 25
Metadata
- Authors
- Wilks, D. S.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2016-12
- Volume
- 97
- Issue
- 12
- Pages
- 2263-2273
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2293053967
- Cited by
- 895
- References
- 18
- FWCI
- 56.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wilks, D. S. (2016). “The Stippling Shows Statistically Significant Grid Points”: How Research Results are Routinely Overstated and Overinterpreted, and What to Do about It. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-15-00267.1
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