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Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence
Open accessAbstract
Most neuroscientists would agree that for brain research to progress, we have to know which experimental manipulations have no effect as much as we must identify those that do have an effect. The dominant statistical approaches used in neuroscience rely on P values and can establish the latter but not the former. This makes non-significant findings difficult to interpret: do they support the null hypothesis or are they simply not informative? Here we show how Bayesian hypothesis testing can be used in neuroscience studies to establish both whether there is evidence of absence and whether there is absence of evidence. Through simple tutorial-style examples of Bayesian t-tests and ANOVA using the open-source project JASP, this article aims to empower neuroscientists to use this approach to provide compelling and rigorous evidence for the absence of an effect.
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“Although this is common practice, non-significant p-values are not sufficient evidence to claim the absence of an effect, as they may also reflect insufficient power to detect a small non-zero effect (Keysers et al. 2020).”
From Evidence for unconscious priming using a Bayesian single-subject approach (2026) · cites this paper as Keysers et al. 2020
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“including (1) the ability to obtain evidence in favor of the null hypothesis and discriminate between “absence of evidence” and “evidence of absence” (Dienes, 2014; Keysers, Gazzola, & Wagenmakers, 2020);”
From The JASP guidelines for conducting and reporting a Bayesian analysis (2021) · cites this paper as Keysers, Gazzola, & Wagenmakers, 2020
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
Kass, R. E., & Raftery, A. E. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476572 · Cited by 12,558
Jeffreys, H., Moran, P. A. P., & Chatfield, C. (1922) · Nature · doi:10.1038/109132a0 · Cited by 7,877
Bayesian t tests for accepting and rejecting the null hypothesis
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.225 · Cited by 3,688
Redefine statistical significance
Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E.-J., Berk, R., Bollen, K. A., Brembs, B., Brown, L., Camerer, C., et al. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0189-z · Cited by 2,772
Self-citationUsing Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998
Statistics notes: Absence of evidence is not evidence of absence
Altman, D. G., & Bland, J. M. (1995) · BMJ · doi:10.1136/bmj.311.7003.485 · Cited by 1,946
Default Bayes factors for ANOVA designs
Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2012.08.001 · Cited by 1,800
Bayesian Cognitive Modeling: A Practical Course
Lee, M. D., & Wagenmakers, E.-J. (2014) · doi:10.1017/cbo9781139087759 · Cited by 1,795
Self-citation
Research works printed but not linked: 3
- Jeffreys, H. Theory of Probability (Oxford University Press, 1961).
- Etz, A. & Wagenmakers, E.-J. J. B. S. Haldane’s contribution to the Bayes factor hypothesis test. Stat. Sci. 32, 313–329 (2017). · DOI
- Jeffreys, H. Theory of Probability (Oxford University Press, 1939).
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Self-citationLi, L., Zhang, L., He, Z., Ma, H., Zhang, Y., Xun, Y., Yuan, W., Hou, W., Li, Y.-T., Lv, Z., et al. (2021) · eLife · doi:10.7554/elife.67638 · Cited by 66
Lammer, L., Beyer, F., Luppa, M., Sander, C., Baber, R., Engel, C., Wirkner, K., Löffler, M., Riedel-Heller, S. G., Villringer, A., et al. (2023) · eLife · doi:10.7554/elife.83660 · Cited by 67
Kosnoff, J., Yu, K., Liu, C., & He, B. (2024) · Nature Communications · doi:10.1038/s41467-024-48576-8 · Cited by 64
Nickel, M. M., Tiemann, L., Hohn, V. D., May, E. S., Ávila, C. G., Eippert, F., & Ploner, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116616119 · Cited by 62
Tang, A. D., Bennett, W., Bindoff, A. D., Bolland, S. J., Collins, J. M., Langley, R. C., Garry, M. I., Summers, J. J., Hinder, M. R., Rodger, J., et al. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.10.001 · Cited by 62
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Narayan, G. A., Hill, K., Wengler, K., He, X., Wang, J., Yang, J., Parsey, R. V., & DeLorenzo, C. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01730-4 · Cited by 43
Stern, Y., Koren, D., Moebus, R., Panishev, G., & Salomon, R. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092931 · Cited by 42
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Terranova, J. I., Yokose, J., Osanai, H., Ogawa, S. K., & 北村, 貴. (2023) · Nature Communications · doi:10.1038/s41467-023-39718-5 · Cited by 30
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Lisi, M. P., Scattolin, M., Fusaro, M., & Aglioti, S. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255598 · Cited by 32
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Sandner, M., Zeier, P., Lois, G., & Wessa, M. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107876 · Cited by 36
Heitmann, H., Ávila, C. G., Nickel, M. M., Dinh, S. T., May, E. S., Tiemann, L., Hohn, V. D., Tölle, T. R., & Ploner, M. (2021) · Pain · doi:10.1097/j.pain.0000000000002565 · Cited by 30
Sharika, K. M., Thaikkandi, S., Nivedita, & Platt, M. L. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2313801121 · Cited by 33
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Schone, H. R., Maimon-Mor, R. O., Baker, C. I., & Makin, T. R. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2489-20.2020 · Cited by 31
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Rosenfeld, J. P., & Olson, J. M. (2021) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-020-09502-y · Cited by 28
Yokose, J., Marks, W. D., & 北村, 貴. (2023) · Neuron · doi:10.1016/j.neuron.2023.10.022 · Cited by 25
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Bhat, D., Sharma, A., & Swathi, K. S. (2024) · SLAS TECHNOLOGY · doi:10.1016/j.slast.2024.100129 · Cited by 28
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Blanco, B., Molnar, M. T., Carreiras, M., Collins-Jones, L. H., Vidal-Rosas, E. E., Cooper, R. J., & Caballero‐Gaudes, C. (2021) · Neurophotonics · doi:10.1117/1.nph.8.2.025011 · Cited by 28
Sanders, A., Richard, G., Kolskår, K. K., Ulrichsen, K. M., Kaufmann, T., Alnæs, D., Beck, D., Dørum, E. S., de Lange, A. G., Nordvik, J. E., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102767 · Cited by 29
Fietz, J., Pöhlchen, D., Binder, F. P., BeCOME Working Group, Czisch, M., Sämann, P. G., & Spoormaker, V. I. (2021) · Human Brain Mapping · doi:10.1002/hbm.25678 · Cited by 30
Simon, J. C., & Gutsell, J. N. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab014 · Cited by 28
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Metadata
- Authors
- Keysers, C., Gazzola, V., & Wagenmakers, E.-J.
- Affiliations
- Netherlands Institute for Neuroscience (NL)
- University of Amsterdam (NL)
- Corresponding author
- Keysers, Christian
- Venue
- Nature Neuroscience
- Published
- 2020-06-29
- Volume
- 23
- Issue
- 7
- Pages
- 788-799
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC7610527
- OpenAlex
- W3037007306
- Cited by
- 654
- References
- 41
- Citations by year
- 2026: 69 · 2025: 92 · 2024: 127 · 2023: 118 · 2022: 118 · 2021: 98 · 2020: 29
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-10-06)
- Open access
- green
- pure.knaw.nl
- Licence
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (453-15-009, 452-14-015)
- H2020 European Research Council (758703)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- 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
- Bayes factor, evidence of absence, absence of evidence, Bayesian hypothesis testing, null hypothesis, p-values, Bayesian t-test, JASP
- MeSH terms
- Animals, Bayes Theorem, Brain, Humans, Neurosciences, Research Design
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