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Sifting the evidence---what's wrong with significance tests? Another comment on the role of statistical methods
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The findings of medical research are often met with considerable scepticism, even when they have apparently come from studies with sound methodologies that have been subjected to appropriate statistical analysis. This is perhaps particularly the case with respect to epidemiological findings that suggest that some aspect of everyday life is bad for people. Indeed, one recent popular history, the medical journalist James Le Fanu's The Rise and Fall of Modern Medicine , went so far as to suggest that the solution to medicine's ills would be the closure of all departments of epidemiology.1 One contributory factor is that the medical literature shows a strong tendency to accentuate the positive; positive outcomes are more likely to be reported than null results.2–4 By this means alone a host of purely chance findings will be published, as by conventional reasoning examining 20 associations will produce one result that is “significant at P=0.05” by chance alone. If only positive findings are published then they may be mistakenly considered to be of importance rather than being the necessary chance results produced by the application of criteria for meaningfulness based on statistical significance. As many studies contain long questionnaires collecting information on hundreds of variables, and measure a wide range of potential outcomes, several false positive findings are virtually guaranteed. The high volume and often contradictory nature5 of medical research findings, however, is not only because of publication bias. A more fundamental problem is the widespread misunderstanding of the nature of statistical significance. #### Summary points P values, or significance levels, measure the strength of the evidence against the null hypothesis; the smaller the P value, the stronger the evidence against the null hypothesis An arbitrary division of results, into “significant” or “non-significant” according to the P value, was not the intention of the …
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“When studies in a given field are designed with a power of 20%, it means that if there are 100 genuine non-null effects to be discovered in that field, these studies are expected to discover only 20 of them 11 .”
From Power failure: why small sample size undermines the reliability of neuroscience (2013) · cites this paper as [11]
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Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Sontrop, J. M., Dixon, S. N., Garg, A. X., Jiménez, I. B., Dohein, O., Huang, S. S., & Clark, W. F. (2013) · American Journal of Nephrology · doi:10.1159/000350377 · Cited by 5,903
Casella, G., & Berger, R. L. (1993) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003456285 · Cited by 5,835
Publication bias in clinical research
Easterbrook, P. J., Gopalan, R., Berlin, J. A., & Matthews, D. R. (1991) · The Lancet · doi:10.1016/0140-6736(91)90201-y · Cited by 3,109
IX. On the problem of the most efficient tests of statistical hypotheses
Neyman, J., & Pearson, E. S. (1933) · Philosophical Transactions of the Royal Society of London Series A Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1933.0009 · Cited by 2,370
Confidence intervals rather than P values: estimation rather than hypothesis testing.
Gardner, M. J., & Altman, D. G. (1986) · BMJ · doi:10.1136/bmj.292.6522.746 · Cited by 2,014
Smithson, M. J. (2000) · SAGE Publications Ltd eBooks · doi:10.4135/9781446218525 · Cited by 1,871
Bayesian statistical inference for psychological research.
Edwards, W., Lindman, H., & Savage, L. J. (1963) · Psychological Review · doi:10.1037/h0044139 · Cited by 1,734
Freiman, J. A., Chalmers, T. C., Smith, H., & Kuebler, R. R. (1978) · New England Journal of Medicine · doi:10.1056/nejm197809282991304 · Cited by 1,628
ON THE PROBLEM OF THE MOST EFFICIENT TESTS OF STATISTICAL HYPOTHESES
Neyman, J., & Pearson, E. S. (1967) · University of California Press eBooks · doi:10.1525/9780520339897-008 · Cited by 1,545
Research works printed but not linked: 5
- [38]Davey Smith G. Reflections on the limits to epidemiology. J Clin Epidemiol (in press).
- BMJ. 2001 Jan 27;322(7280):226–231.
- 1-1.Fisher RA. Statistical methods for research workers. 1st ed. Edinburgh: Oliver and Boyd; 1925. . Reprinted by Oxford University Press. [Google Scholar]
- 1-2.Fisher RA. Design of experiments. 1st ed. Edinburgh: Oliver and Boyd; 1935. . Reprinted by Oxford University Press. [Google Scholar]
- 1-4.Cox DR. Statistical significance tests. Br J Clin Pharmacol. 1982;14:325–331. doi: 10.1111/j.1365-2125.1982.tb01987.x. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
Cited by
Sorted by citations
Items 401–500 of 1,000
Bell, J. A., Richardson, T. G., Wang, Q., Sanderson, E. C. M., Palmer, T., Walker, V. M., O’Keeffe, L. M., Timpson, N. J., Cichońska, A., Julkunen, H., et al. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2022.100457 · Cited by 47
Olsson, C. A., Byrnes, G. B., Anney, R., Collins, V., Hemphill, S. A., Williamson, R., & Patton, G. C. (2007) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2007.00313.x · Cited by 47
Medrano, L. M., García‐Broncano, P., Berenguer, J., González‐García, J., Jiménez‐Sousa, M. Á., Guardiola, J. M., Casal, M. C., Quereda, C., Sanz, J., Canorea, I., et al. (2018) · AIDS · doi:10.1097/qad.0000000000001787 · Cited by 47
Psychosocial factors and patients' preferences for adjuvant chemotherapy in early breast cancer
Duric, V. M., Butow, P. N., Sharpe, L., Boyle, F. M., Beith, J. M., Wilcken, N. R. C., Heritier, S. R., Coates, A. S., Simes, R. J., & Stockler, M. R. (2006) · Psycho-Oncology · doi:10.1002/pon.1045 · Cited by 46
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Pirastu, R., Comba, P., Iavarone, I., Zona, A., Conti, S., Minelli, G., Manno, V., Mincuzzi, A., Minerba, S., Forastiere, F., et al. (2013) · Journal of Environmental and Public Health · doi:10.1155/2013/753719 · Cited by 46
Ioannidis, J. P. A., Zhou, Y., Chang, C. Q., Schully, S. D., Khoury, M. J., & Freedman, A. N. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt372 · Cited by 46
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Parker, C. C., & Palmer, A. A. (2011) · Frontiers in Genetics · doi:10.3389/fgene.2011.00032 · Cited by 45
Armijo-Olivo, S. L. (2018) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2018.02.001 · Cited by 46
Genetic variation and systemic lupus erythematosus: A field synopsis and systematic meta-analysis
Jeong, D. Y., Lee, S. W., Park, Y. H., Choi, J., Kwon, Y. W., Moon, G., Eisenhut, M., Kronbichler, A., & Shin, J. I. (2018) · Autoimmunity Reviews · doi:10.1016/j.autrev.2017.12.011 · Cited by 46
Effects of modified-implement training on fast bowling in cricket
Petersen, C. J., Wilson, B. D., & Hopkins, W. G. (2004) · Journal of Sports Sciences · doi:10.1080/02640410410001729973 · Cited by 46
Blakey, K., Feltbower, R. G., Parslow, R. C., James, P. W., Gómez‐Pozo, B., Stiller, C. A., Vincent, T. J., Norman, P. D., McKinney, P. A., Murphy, M. F. G., et al. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt259 · Cited by 47
Effect of Protein-Rich Feeding on Recovery after Intense Exercise
ROWLANDS, D. S., Thorp, R. M., Rössler, K., Graham, D., & Rockell, M. J. (2007) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.17.6.521 · Cited by 47
HLA-DRB1*03 and DRB1*04 are associated with atrophic gastritis in an Italian population
Lahner, E., Spoletini, M., Buzzetti, R., Corleto, V. D., Vannella, L., Petrone, A., & Annibale, B. (2010) · Digestive and Liver Disease · doi:10.1016/j.dld.2010.04.011 · Cited by 45
Eger, W. H., Abramovitz, D. A., Bazzi, A. R., Bórquez, A., Vera, C. F., Vera, A., Friedman, J. R., & Strathdee, S. A. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.111318 · Cited by 43
Consequences of relying on statistical significance: Some illustrations
CALSTER, B. V., Steyerberg, E. W., Collins, P. G. S., & Smits, T. (2018) · European Journal of Clinical Investigation · doi:10.1111/eci.12912 · Cited by 47
Zhang, X. D. (2011) · Cited by 44
Why We Should Stop Talking About Objectivity and Subjectivity in Social Work
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Sabourin, S., Tram, J. K., Sheldon, B. L., & Pilitsis, J. G. (2021) · Journal of Neurosurgery : Spine · doi:10.3171/2020.11.spine201431 · Cited by 39
Straker, L., Smith, A., Hands, B., Olds, T., & Abbott, R. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1174 · Cited by 43
Hillslope sediment production after wildfire and post‐fire forest management in northern California
Cole, R. P., Bladon, K. D., Wagenbrenner, J. W., & Coe, D. B. R. (2020) · Hydrological Processes · doi:10.1002/hyp.13932 · Cited by 43
Staatz, C. B., Kelly, Y. J., Lacey, R. E., Blodgett, J. M., George, A., Arnot, M., Walker, E. S., & Hardy, R. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00898-z · Cited by 43
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Reliability and replicability of genetic association studies.
Munafo, M. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02662.x · Cited by 47
Thorburn, M. S., Vistisen, B., Thorp, R. M., Rockell, M. J., Jeukendrup, A. E., Xu, X., & Rowlands, D. S. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00393.2006 · Cited by 42
Lee, K. H., Yoon, S., Jeong, G. H., Kim, J. Y., Han, Y. J., Hong, S. H., Ryu, S., Kim, J. S., Lee, J. Y., Yang, J. W., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9082392 · Cited by 42
Rzehak, P., Scherag, A., Grallert, H., Sausenthaler, S., Koletzko, S., Bauer, C. P., Schaaf, B., Berg, A. V., Berdel, D., Borte, M., et al. (2010) · Obesity Facts · doi:10.1159/000314612 · Cited by 42
Slater, H., Briggs, A. M., Smith, A. J., Bunzli, S., Davies, S., & Quintner, J. L. (2014) · Pain Medicine · doi:10.1111/pme.12351 · Cited by 42
Button, K. S., Chambers, C., Lawrence, N., & Munafo, M. R. (2019) · Psychology Learning & Teaching · doi:10.1177/1475725719857659 · Cited by 40
Leng, K., Wang, Z., Zhao, J.-B., Cui, Y., & Zhong, X. (2012) · Digestive Surgery · doi:10.1159/000339334 · Cited by 42
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Razafsha, M., Behforuzi, H., Azari, H., Zhang, Z., Wang, K., Kobeissy, F. H., & Gold, M. S. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-458-2_3 · Cited by 50
Gross, M. J., Shearer, D. A., Bringer, J. D., Hall, R., Cook, C. J., & Kilduff, L. P. (2016) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-015-9330-9 · Cited by 63
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Staatz, C. B., Kelly, Y. J., Lacey, R. E., Blodgett, J. M., George, A., Arnot, M., Walker, E. S., & Hardy, R. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00899-y · Cited by 41
Álvarez‐Gallardo, I. C., Soriano‐Maldonado, A., Segura‐Jiménez, V., Carbonell‐Baeza, A., Estévez‐López, F., McVeigh, J. G., Delgado‐Fernández, M., & Ortega, F. B. (2015) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2015.08.416 · Cited by 41
Explorations in statistics: hypothesis tests and P values
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Collins, J. E., Heward, J. M., Howson, J. M. M., Foxall, H., Carr-Smith, J., Franklyn, J. A., & Gough, S. C. L. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-1336 · Cited by 42
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How to critically read ecological meta-analyses
Lortie, C. J., Stewart, G., Rothstein, H., & Lau, J. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1109 · Cited by 39
Smith, M. L., Bull, C. J., Holmes, M. V., Smith, G. D., Sanderson, E. C. M., Anderson, E. L., & Bell, J. A. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104503 · Cited by 40
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Chen, S., Su, X., Feng, Y., Li, R., Liao, M., Fan, L., Liu, J., Chen, S., Zhang, S., Cai, J., et al. (2023) · Nutrients · doi:10.3390/nu15194161 · Cited by 41
Zhang, X. D. (2010) · Statistics in Biopharmaceutical Research · doi:10.1198/sbr.2009.0074 · Cited by 40
Er, V., Lane, J. A., Martin, R. M., Emmett, P. M., Gilbert, R., AVERY, K. N. L., Walsh, E. I., Donovan, J., Neal, D. E., Hamdy, F. C., et al. (2014) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-0322 · Cited by 40
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Zeng, J., Xu, J., Xu, Y., Zhou, W., & Xu, F. (2021) · International Journal of Sports Science & Coaching · doi:10.1177/17479541211032739 · Cited by 43
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Corrao, G., Botteri, E., Bagnardi, V., Zambon, A., Carobbio, A., Falcone, C., & Leoni, O. (2004) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1019 · Cited by 40
Wilkinson, M. (2013) · Sports Medicine · doi:10.1007/s40279-013-0125-y · Cited by 39
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Gardner, K. J., Paul, E., Selby, E. A., Klonsky, E. D., & Mars, B. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.688472 · Cited by 42
Young, N., Metcalfe, C., Gunnell, D., Rowlands, M., Lane, J. A., Gilbert, R., AVERY, K. N. L., Davis, M., Neal, D. E., Hamdy, F. C., et al. (2012) · Cancer Causes & Control · doi:10.1007/s10552-012-9961-6 · Cited by 40
Kalil, A. C., & Sun, J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002291 · Cited by 39
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Impact of sex hormone-binding globulin on the human phenome
Arathimos, R., Millard, L. A. C., Bell, J. A., Relton, C. L., & Suderman, M. J. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddz269 · Cited by 39
Australian National Trends in Stimulant Dispensing: 2002–2009
Hollingworth, S., Nissen, L. M., Stathis, S. S., Siskind, D. J., Varghese, J. M. N., & Scott, J. G. (2010) · Australian & New Zealand Journal of Psychiatry · doi:10.3109/00048674.2010.543413 · Cited by 39
Oliver, E., Carrió, M. L., Rodríguez-Castro, D., Javierre, C., Farrero, E., Torrado, H., Castells, E., & Ventura, J. (2009) · Intensive Care Medicine · doi:10.1007/s00134-009-1526-0 · Cited by 38
Significance Testing: We Can Do Better
Dyckman, T. R. (2016) · Abacus · doi:10.1111/abac.12078 · Cited by 38
Stang, A., Deckert, M., Poole, C., & Rothman, K. J. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0211-1 · Cited by 36
Fischer, U., Trelle, S., Branca, M., Salanti, G., Paciaroni, M., Ferrari, C., Abend, S., Beyeler, S., Strbian, D., Thomalla, G., et al. (2022) · European Stroke Journal · doi:10.1177/23969873221106043 · Cited by 32
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Biomechanical analysis of dragon boat paddling: A comparison of elite and sub-elite paddlers
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Understanding results: P-values, confidence intervals, and number need to treat
Tseng, T., & Flechner, L. (2011) · Indian Journal of Urology · doi:10.4103/0970-1591.91447 · Cited by 37
Vavken, P. (2011) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999-011-1773-6 · Cited by 37
Monsarrat, P., & Vergnes, J. (2017) · GigaScience · doi:10.1093/gigascience/gix121 · Cited by 35
School design and physical activity among middle school girls
Cohen, D., Scott, M., Wang, F. Z., McKenzie, T. L., & Porter, D. (2008) · Journal of Physical Activity and Health · doi:10.1123/jpah.5.5.719 · Cited by 36
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Dunn, D. T., Glidden, D. V., Stirrup, O., & McCormack, S. (2018) · The Lancet HIV · doi:10.1016/s2352-3018(18)30045-6 · Cited by 36
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Foweather, L., McWhannell, N., Henaghan, J., Lees, A., Stratton, G., & Batterham, A. M. (2008) · Perceptual and Motor Skills · doi:10.2466/pms.106.3.745-754 · Cited by 37
Hagen, K., Stovner, L., & Zwart, J.-A. (2007) · Cephalalgia · doi:10.1111/j.1468-2982.2007.01302.x · Cited by 36
Grogan‐Kaylor, A. C., Ma, J., Lee, S. J., Castillo, B., Ward, K. P., & Klein, S. M. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.10.009 · Cited by 38
Rowe, S., Ross‐Degnan, D., Peters, D. H., Holloway, K., & Rowe, A. K. (2022) · Human Resources for Health · doi:10.1186/s12960-021-00683-z · Cited by 40
Jüni, P., Antoniou, S., Arbelo, E., Buccheri, S., Čikeš, M., da Costa, B. R., Fauchier, L., Gale, C. P., Halvorsen, S., James, S. K., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf009 · Cited by 35
McIntosh, J. E., Smyth, B., Kelaher, M., Wells, Y., & Long, C. M. (2010) · Cited by 36
Uncertainty and sampling error
Altman, D. G., & Bland, M. (2014) · BMJ · doi:10.1136/bmj.g7064 · Cited by 35
A comparison of randomised controlled trials in health and education
Torgerson, C. J., Torgerson, D. J., Birks, Y. F., & Porthouse, J. (2005) · British Educational Research Journal · doi:10.1080/01411920500314919 · Cited by 35
Cell therapy for heart disease: Trial sequential analyses of two Cochrane reviews
Fisher, S., Doree, C. J., Taggart, D. P., Mathur, A., & Martin‐Rendon, E. (2016) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.344 · Cited by 35
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Bell, J. A., Bull, C. J., Gunter, M. J., Carslake, D., Mahajan, A., Smith, G. D., Timpson, N. J., & Vincent, E. E. (2020) · Diabetes Care · doi:10.2337/dc19-2348 · Cited by 32
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Paúl, A., Kumar, V., Roth, S. G., Gooch, M. R., & Pilitsis, J. G. (2017) · Neurosurgery · doi:10.1093/neuros/nyx153 · Cited by 35
Caldwell, D. M., Davies, S. R., Thorn, J. C., Palmer, J. C., Caro, P., Hetrick, S. E., Gunnell, D., Anwer, S., López-López, J. A., French, C. E., et al. (2021) · Public Health Research · doi:10.3310/phr09080 · Cited by 41
Buetti, S., & Lleras, A. (2016) · Journal of Experimental Psychology General · doi:10.1037/xge0000213 · Cited by 36
Guyatt, A. L., Stergiakouli, E., Martin, J., Walters, J., O’Donovan, M. C., Owen, M. J., Thapar, A., Kirov, G., Rodrı́guez, S., Rai, D., et al. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32637 · Cited by 35
Ingberg, E., Dock, H., Theodorsson, E., Theodorsson, A., & Ström, J. O. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0425-0 · Cited by 34
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Metadata
- Authors
- Sterne, J. A. C.
- Affiliations
- University of Bristol (GB)
- Corresponding author
- Sterne, J. A C
- ORCID
- Sterne, J. A C
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2001-01-27
- Volume
- 322
- Issue
- 7280
- Pages
- 226-231
- ISSN
- 0959-8138 (ISSN-L)
- PMC
- PMC1119478
- OpenAlex
- W2025651303
- Cited by
- 1,466
- References
- 48
- Citations by year
- 2026: 48 · 2025: 64 · 2024: 75 · 2023: 63 · 2022: 63 · 2021: 82 · 2020: 72 · 2019: 82 · 2018: 75 · 2017: 79 · 2016: 74 · 2015: 48 · 2014: 56 · 2013: 50 · 2012: 53
- FWCI
- 45.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- BMJ (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- statistical significance, p-values, publication bias, false positives, null hypothesis, evidence evaluation
- MeSH terms
- Bayes Theorem, Data Interpretation, Statistical, Humans, Research Design, Statistics as Topic, History, 20th Century
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