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Mixed-effects modeling with crossed random effects for subjects and items
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“In our study, each patient repeated about 40 trials of the same tasks. The number of trials and the individual difference among patients may have random effects on the motor performance [36].”
From Evaluation of tremor interference with control of voluntary reaching movements in patients with Parkinson's disease (2019) · cites this paper as [36]
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“This is the recommended analysis method for this type of data structure (Baayen, Davidson, & Bates, 2008).”
From In an Absolute State: Elevated Use of Absolutist Words Is a Marker Specific to Anxiety, Depression, and Suicidal Ideation (2018) · cites this paper as Baayen, Davidson, & Bates, 2008
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
Mixed-Effects Models in Sand S-PLUS
Pinheiro, J. C., & Bates, D. M. (2000) · Statistics and Computing · doi:10.1007/978-1-4419-0318-1 · Cited by 11,187
Self-citationStatistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
Self-citationRozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Harrell (2015) · Springer Series in Statistics · doi:10.1007/978-3-319-19425-7 · Cited by 6,878
Goldstein, H. (2006) · Technometrics · doi:10.1198/tech.2006.s417 · Cited by 4,960
On Methods in the Analysis of Profile Data
Greenhouse, S. W., & Geisser, S. (1959) · Psychometrika · doi:10.1007/bf02289823 · Cited by 4,946
Bayesian Inference in Statistical Analysis.
Kadane, J. B., Box, G. E. P., & Tiao, G. C. (1975) · Journal of the American Statistical Association · doi:10.2307/2285412 · Cited by 3,853
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5 of the 73 references couldn’t be matched to a known paper.
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- Bates, 2005, Fitting linear mixed models in R, R News, 5, 27
- Dien, 2004, Application of repeated measures anova to high-density erp datasets: A review and tutorial
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Metadata
- Authors
- Baayen, R. H., Davidson, D. J., & Bates, D. M.
- Affiliations
- University of Alberta (CA)
- Max Planck Institute for Psycholinguistics (NL)
- University of Wisconsin–Madison (US)
- Corresponding author
- Baayen, R.H.
- Venue
- Journal of Memory and Language
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 59
- Issue
- 4
- Pages
- 390-412
- ISSN
- 0749-596X (ISSN-L)
- OpenAlex
- W2125001590
- Cited by
- 8,540
- References
- 73
- Citations by year
- 2026: 412 · 2025: 499 · 2024: 461 · 2023: 533 · 2022: 630 · 2021: 686 · 2020: 636 · 2019: 639 · 2018: 585 · 2017: 559 · 2016: 563 · 2015: 509 · 2014: 439 · 2013: 420 · 2012: 380
- FWCI
- 183.09
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Memory and Language (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- mixed models, crossed random effects, repeated measurement data, random regression models
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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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