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The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?
Open accessAbstract
BACKGROUND: Pseudoreplication occurs when observations are not statistically independent, but treated as if they are. This can occur when there are multiple observations on the same subjects, when samples are nested or hierarchically organised, or when measurements are correlated in time or space. Analysis of such data without taking these dependencies into account can lead to meaningless results, and examples can easily be found in the neuroscience literature. RESULTS: A single issue of Nature Neuroscience provided a number of examples and is used as a case study to highlight how pseudoreplication arises in neuroscientific studies, why the analyses in these papers are incorrect, and appropriate analytical methods are provided. 12% of papers had pseudoreplication and a further 36% were suspected of having pseudoreplication, but it was not possible to determine for certain because insufficient information was provided. CONCLUSIONS: Pseudoreplication can undermine the conclusions of a statistical analysis, and it would be easier to detect if the sample size, degrees of freedom, the test statistic, and precise p-values are reported. This information should be a requirement for all publications.
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“Pseudoreplication has been addressed repeatedly in ecology, agriculture, psychology, and neuroscience and acknowledged as one of the most common statistical mistakes in scientific literature4–9.”
From A practical solution to pseudoreplication bias in single-cell studies (2021) · cites this paper as [8]
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“Reporting n = 50 in this case is an example of pseudoreplication [26].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [26]
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“It underestimates the true variability in a study, which can lead to false positives and invalidate the analysis and resulting conclusions [26,27].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [26]
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“Conflating experimental units with subsamples or repeated measurements can lead to artificial inflation of the sample size.”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [26]
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“It should also be made clear what the experimental unit ( “ n ” ), of a study is; whilst this is true for all study types, it is of particular importance in longitudinal and electro-physiological studies where the issue of pseudoreplication needs to be avoided (Lazic, 2010).”
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“Importantly, different cells are not experimentally independent, and as such do not constitute replicates (Lazic, 2010; Squair et al., 2021).”
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“…nearly one-half of the ecological papers surveyed were faulty in that experimental entities were taken as independent when they were not (pseudoreplication) and inappropriate statistical analysis was used; more recently, Lazic (2010) has voiced concerns about pseudoreplication in neuroscience.”
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BackgroundMigration Patterns, Timing, and Seasonal Destinations of Adult Ferruginous Hawks (Buteo regalis)
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“This is similar to the rate of pseudoreplication that Hurlbert found in 1984 (2) but lower than contemporary reviews of primatology and neuroscience (5, 6).”
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MethodSingle-cell differential expression analysis between conditions within nested settings
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“Ignoring this dependence violates the independence assumption that underlies these tests, leading to undere stimated variability and inflated type 1 error, which ultimately compromises the reproducibility of statistical findings [11, 12].”
Grade-control outdoor turning flight of robo-pigeon with quantitative stimulus parameters
Fang, K., Mei, H., Tang, Y., Wang, W., Wang, H., Wang, Z., & Dai, Z. (2023) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2023.1143601 · Cited by 9
“Due to the fact that pseudoreplication might affect the conclusions of statistical analyses in ecological, animal behavior and neuroscience studies, the test order of the respective sessions obeyed a pseudorandomized sequence at the present study (Freeberg and Lucas, 2009; Lazic, 2010).”
MethodOlfactory stimulation induces cerebellar vermis activation during sexual learning in male rats
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“The pseudoreplication model (nesting factor within brackets) was part of the variation as suggested (García et al., 2015; Herrera-Meza, Manzo, Hernández, Miquel, & García, 2014; Lazic, 2010).”
MethodJamalabadi, H., Alizadeh, S., Schönauer, M., Leibold, C., & Gais, S. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006486 · Cited by 9
Loonat, A. A., Curtis, M. K., Richards, M. A., Nunez-Alonso, G. A., Michl, J., & Swietach, P. (2019) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2019.04.001 · Cited by 9
Le, T. T. Y., Grabner, D. S., Nachev, M., Garcia, M. R., Balsa‐Canto, E., Peijnenburg, W. J. G. M., Hendriks, A. J., & Sures, B. (2021) · Aquatic Toxicology · doi:10.1016/j.aquatox.2021.106015 · Cited by 9
Activación del cerebelo por estimulación olfativa en ratas macho sexualmente inexpertas
García, L. I., García-Bañuelos, P., Aranda-Abreu, G. E., Meza, G. H., Coria‐Ávila, G. A., & Manzo, J. G. (2014) · Neurología · doi:10.1016/j.nrl.2014.02.002 · Cited by 9
Auditory perception exhibits sexual dimorphism and left telencephalic dominance inXenopus laevis
Fan, Y., Yue, X., Xue, F., Cui, J., Brauth, S. E., Tang, Y., & Fang, G. (2018) · Biology Open · doi:10.1242/bio.035956 · Cited by 10
“…the conclusions of statistical analyses in ecological, animal behavior and neuroscience studies (Freeberg and Lucas, 2009; Kroodsma et al., 2001; Lazic, 2010; Schank and Koehnle, 2009), the possible effects of pseudoreplication were controlled by using multiple stimulus examplars in the present…”
MethodMukai, Y., Okubo, T. S., Lazarus, M., Ono, D., Tanaka, K. F., & Yamanaka, A. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0353-23.2023 · Cited by 9
“To examine the correlation among ROIs collected from the same animal, random intercepts in a linear mixed-effects (LME) model (Lazic, 2010; Aarts et al., 2014; Yu et al., 2022) were incorporated into the statistical analysis of the calcium imaging data.”
MethodThe impact of N-back-induced mental workload and time budget on takeover performance
Goodridge, C. M., Gonçalves, R. C., Arabian, A., Horrobin, A., Solernou, A., Lee, Y. T., Bruneau, A., Lee, Y. M., & Merat, N. (2025) · Accident Analysis & Prevention · doi:10.1016/j.aap.2025.108327 · Cited by 8
The Lack of Synapsin Alters Presynaptic Plasticity at Hippocampal Mossy Fibers in Male Mice
Bruentgens, F., Velasquez, L. M., Stumpf, A., Parthier, D., Breustedt, J., Benfenati, F., Milovanović, D., Schmitz, D., & Orlando, M. (2024) · eNeuro · doi:10.1523/eneuro.0330-23.2024 · Cited by 9
“Nested structures introduce correlations in the sample, which have to be accounted for, to avoid in fl ation of false-positive conclusions (Lazic, 2010; Aarts et al., 2014).”
BackgroundRepresentations of the intrinsic value of information in mouse orbitofrontal cortex
Bussell, J. J., Badman, R. P., Márton, C. D., Bromberg-Martin, E. S., Abbott, L. F., Rajan, K., & Axel, R. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02377-y · Cited by 13
“We calculated the 95% CI for the decoded accuracy results across the six animals, accounting for dependent measurements across sessions 82 .”
Sun, Y., Rantalainen, A., Romantschuk, M., & Sinkkonen, A. (2018) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2018.06.006 · Cited by 8
Statistical experiment design for animal researchPreprint
Sorzano, C. Ó. S. (2023) · doi:10.31219/osf.io/e9s25 · Cited by 9
Noel, S. C., Fortin-Hamel, L., Haque, M., & Scott, M. E. (2022) · Scientific Reports · doi:10.1038/s41598-022-13971-y · Cited by 8
Meza, G. H., Manzo, J. G., Hernández‐Aguilar, M. E., Miquel, M., & García, L. I. (2014) · Neurología (English Edition) · doi:10.1016/j.nrleng.2013.10.019 · Cited by 7
Relationships among variables and their equilibrium values: caveats of time‐less interpretation
Janušonis, S. (2011) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2011.00194.x · Cited by 7
“…of statistical analysis is undoubtedly dismal in some (otherwise highly sophisticated) biology fields (Nakagawa & Cuthill, 2007; Janušonis, 2009; Lazic, 2008, 2010; Nakagawa & Hauber, 2011), the problem discussed in this review is different and will remain unsolved even when statistical…”
BackgroundOudejans, C. B. M., Michel, O. J., Janssen, R., Habets, R., Poutsma, A., Sistermans, E. A., Weiss, M. M., Incarnato, D., Oliviero, S., Kleiverda, G., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu423 · Cited by 7
“To prevent the problem of pseudoreplication (29), independent measurements separated in time are usually considered essential for hierarchical systems (such as cell cultures), i.”
BackgroundFirst-Year Migration and Natal Region Fidelity of Immature Ferruginous Hawks
Watson, J., Banasch, U., Byer, T., Svingen, D. N., Mccready, R., Hanni, D. J., & Gerhardt, R. (2019) · Journal of Raptor Research · doi:10.3356/jrr-18-32 · Cited by 7
“Different patterns and areas of use may affect age-specific survival and thus be important to conservation needs of immature hawks (Mañosa et al. 1998, McIntyre et al. 2006, Cadahia et al. 2010, Hunt et al. 2017).”
BackgroundActivation of the cerebellum by olfactory stimulation in sexually naive male rats
García, L. I., García-Bañuelos, P., Aranda-Abreu, G. E., Meza, G. H., Coria‐Ávila, G. A., & Manzo, J. G. (2015) · Neurología (English Edition) · doi:10.1016/j.nrleng.2014.02.004 · Cited by 7
“analysis.(17) A Tukey post hoc test was completed to determine any inter-group differences in lobules.”
MethodUsing meta-analysis for evidence synthesis: The case of incomplete neutralization in GermanPreprint
Nicenboim, B., Roettger, T. B., & Vasishth, S. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/p5a4z · Cited by 9
Pseudoreplication in Primate Communication Research: 10 Years On
Whitehouse, J., Clark, P. R., Micheletta, J., Liebal, K., Slocombe, K. E., & Waller, B. M. (2023) · International Journal of Primatology · doi:10.1007/s10764-023-00399-y · Cited by 7
“Since then, a variety of scientific fields have highlighted pseudorep-lication as an ongoing statistical issue (Freeberg & Lucas, 2009; Heffner et al ., 1996; Johnson & Freeberg, 2016; Kroodsma et al ., 2001; Lazic, 2010; Waller et al ., 2013).”
Yu, Y., Zhou, R. Z., Nilsson, P., Winblad, B. G., Tjernberg, L. O., & Schedin‐Weiss, S. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107129 · Cited by 5
Yawning and Its Temperature-Dependent Modulation in Leopard Geckos
Kotake, K. T., Yamaguchi, S. T., Mukai, Y., Zhou, Z., & Norimoto, H. (2024) · ZOOLOGICAL SCIENCE · doi:10.2108/zs230123 · Cited by 6
“2A), a generalized linear mixed-effects model (GLMM) was used to reduce the impact of individual differences on the statistics (Lazic, 2010; Yu et al., 2022; Mukai et al., 2023).”
Studying Cellular Signal Transduction with OMIC Technologies
Landry, B. D., Clarke, D. C., & Lee, M. J. (2015) · Journal of Molecular Biology · doi:10.1016/j.jmb.2015.07.021 · Cited by 8
“The use of inappropriate replication strategies is called “pseudoreplication” and is a common problem in many reported studies [89].”
Guariento, R. T., Mosqueiro, T. S., Matias, P., Cesarino, V. B., Almeida, L. O. B., Slaets, J. F. W., Maia, L. P., & Pinto, R. D. (2016) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2017.02.001 · Cited by 6
“Because the distribution of IPIs in most cases resemble a bell-shaped distribution (see Figure S6) and because failing the hypothesis of normally distributed samples induces less errors than the existence of correlation among samples (Lazic, 2010), we used a”
Rodríguez, A. T., Vásquez-Celaya, L., Coria‐Ávila, G. A., Pérez-Estudillo, C. A., Aranda-Abreu, G. E., Carrillo, P., Manzo, J. G., & García, L. I. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.09.063 · Cited by 6
Ash, H., Smith, T. E., & Buchanan‐Smith, H. M. (2020) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2020.105169 · Cited by 6
Estes, M. L., Farrelly, K., Cameron, S., Aboubechara, J. P., Haapanen, L. A. D., Schauer, J. D., Horta, A., Prendergast, K., MacMahon, J. A., Shaffer, C. I., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/699983 · Cited by 4
“grooming in MIA offspring using 30mg/kg pure poly(I:C), the difference was not statistically significant due to the high amount of variance (Figure 1i), which was also evident when we accounted for litter effects (Figure 1j) (26).”
MethodAkhlaq, M., Miao, H., Zhang, C., Xue, R., Yan, H., Hameed, M. U., Li, X., Ren, J., Chauhdary, J. N., & Rehman, M. M. U. (2025) · Irrigation Science · doi:10.1007/s00271-025-01034-9 · Cited by 5
“(Hurlbert 1984; Lazic 2010 ).”
Andreis, F. R., Favretto, M. A., Cossul, S., Nakamura, L. R., Barbetta, P. A., & Marques, J. L. B. (2020) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02181-1 · Cited by 5
Hughes, C., Whelan, A., O'Reilly, D., Campbell, E. M., & Lally, C. (2024) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2024.106881 · Cited by 5
Synaptic alterations associated with disrupted sensory encoding in a mouse model of tauopathy
Meftah, S., Cavallini, A., Murray, T. K., Jankowski, Ł., Bose, S., Ashby, M. C., Brown, J. T., & Witton, J. (2024) · Brain Communications · doi:10.1093/braincomms/fcae134 · Cited by 6
Metadata
- Authors
- Lazic, S. E.
- Affiliations
- F. Hoffmann-La Roche AG (CH)
- Corresponding author
- Lazic, Stanley E
- ORCID
- Lazic, Stanley E
- Venue
- BMC Neuroscience
- Published
- 2010-01-14
- Volume
- 11
- Issue
- 1
- Pages
- 5-5
- ISSN
- 1471-2202 (ISSN-L)
- PMC
- PMC2817684
- OpenAlex
- W2109626712
- Cited by
- 381
- References
- 90
- Citations by year
- 2026: 68 · 2025: 30 · 2024: 19 · 2023: 32 · 2022: 20 · 2021: 21 · 2020: 31 · 2019: 16 · 2018: 23 · 2017: 22 · 2016: 15 · 2015: 19 · 2014: 20 · 2013: 17 · 2012: 19
- FWCI
- 12.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- KAIST Institutional Repository (KAIST) (submittedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion, other-oa)
- Funders
- Cancer Research UK (10218)
- University of Oxford
- Cambridge Commonwealth Trust
- King Abdullah University of Science and Technology (KUK‐C1‐013‐04)
- Korea Science and Engineering Foundation
- 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 Epidemiology
- Keywords
- pseudoreplication, statistical dependence, nested data, hierarchical data, repeated measures, time series correlation, spatial correlation, statistical analysis errors, sample size reporting, degrees of freedom, p-values
- MeSH terms
- Analysis of Variance, Animals, Computer Simulation, Neurosciences, Periodicals as Topic, Time Factors, Models, Statistical, Linear Models, Biomedical Research
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