The DOI matches its Crossref record; 9 of the 11 references it cites were found in a registry or an index.
Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median
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“Automated mitral and tricuspid annular excursion have been explored in adult hearts by Storve et al. [7,8] using additional M-mode and ECG information to obtain the results.”
From Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound (2019) · cites this paper as [7]
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Cites
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
The Influence Curve and Its Role in Robust Estimation
Hampel, F. R. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10482962 · Cited by 2,847
Alternatives to the Median Absolute Deviation
Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476408 · Cited by 2,672
Methods for dealing with reaction time outliers.
Ratcliff, R. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.510 · Cited by 2,142
Alternatives to the Median Absolute Deviation
Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.2307/2291267 · Cited by 1,489
Outliers detection and treatment: a review.
Cousineau, D., & Chartier, S. (2010) · International journal of psychological research · doi:10.21500/20112084.844 · Cited by 719
Handbook of Research Methods. in Social and Personality Psychology
Lai, H. L. T. (2000) · Cited by 629
Short Report: Reaction Time Analysis with Outlier Exclusion: Bias Varies with Sample Size
Miller, J. O. (1991) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640749108400962 · Cited by 408
ORR, J. M., Sackett, P. R., & DuBois, C. L. Z. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb02401.x · Cited by 183
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Fear Odor Facilitates the Detection of Fear Expressions Over Other Negative Expressions
Kamiloğlu, R. G., Smeets, M. A. M., de Groot, J. H. B., & Semin, G. R. (2018) · Chemical Senses · doi:10.1093/chemse/bjy029 · Cited by 45
Hulbert-Williams, N. J., Norwood, S. F., Gillanders, D., Finucane, A. M., Spiller, J., Strachan, J., Millington, S., Kreft, J., & Swash, B. (2021) · BMC Palliative Care · doi:10.1186/s12904-021-00801-7 · Cited by 17
Howe, J. W., Sortwell, C. E., Duffy, M. F., Kemp, C. J., Russell, C. P., Kubik, M., Patel, P., Luk, K. C., El-Agnaf, O. M. A., & Patterson, J. R. (2021) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2021.06.010 · Cited by 17
Clark, N. W., Herring, C. H., Goldstein, E. R., Stout, J. R., Wells, A. J., & Fukuda, D. H. (2020) · Nutrients · doi:10.3390/nu12082372 · Cited by 16
Bike share travel time modeling: San Francisco bay area case study
Ghanem, A., Elhenawy, M., Almannaa, M., Ashqar, H. I., & Rakha, H. A. (2017) · 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) · doi:10.1109/mtits.2017.8005582 · Cited by 9
Meagher, R., Chessor, D., & Fogliati, V. J. (2018) · Australian Psychologist · doi:10.1111/ap.12288 · Cited by 7
Common Flaws in Running Human Evaluation Experiments in NLP
Thomson, C., Reiter, E., & Belz, A. (2024) · Computational Linguistics · doi:10.1162/coli_a_00508 · Cited by 8
Luna, R., Vadillo, M. A., & Luque, D. (2023) · Cortex · doi:10.1016/j.cortex.2023.06.009 · Cited by 3
Haalck, L., & Risse, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv48630.2021.00189 · Cited by 3
Global vs. segmental acoustic features for dysarthria assessment in motor neuron diseases
Attia, M., Simmatis, L., Sejdic, E., & Yunusova, Y. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111291
Metadata
- Authors
- Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L.
- Affiliations
- Université Libre de Bruxelles (BE)
- Corresponding author
- Leys, Christophe
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 49
- Issue
- 4
- Pages
- 764-766
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W2040975718
- Cited by
- 4,147
- References
- 11
- Citations by year
- 2026: 498 · 2025: 443 · 2024: 393 · 2023: 413 · 2022: 439 · 2021: 447 · 2020: 393 · 2019: 340 · 2018: 276 · 2017: 216 · 2016: 145 · 2015: 106 · 2014: 33 · 2013: 2
- FWCI
- 84.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Social Psychology (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion, other-oa)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- outlier detection, median absolute deviation, standard deviation, mean, statistical software implementation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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