Remedies for pseudoreplication
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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 literature.
“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 [6]
Mixed-effects models lead to the most accurate results when analyzing data with a hierarchical structure.
“Overall, mixed-effects models lead to the most accurate results when analyzing data with a hierarchical structure6,25,26.”
From A practical solution to pseudoreplication bias in single-cell studies (2021) · cites this paper as [6]
Applying statistical inference to replicates that are not statistically independent without properly accounting for their correlation structure will inflate type 1 error rates and lead to spurious results.
“Here we hope to address pseudoreplication in single-cell analyses by demonstrating what a large and long-standing body of statistical literature already confirms: applying statistical inference to replicates that are not statistically independent without properly accounting for their correlation structure will inflate type 1 error rates and lead to spurious results4–6,9,25–28.”
From A practical solution to pseudoreplication bias in single-cell studies (2021) · cites this paper as [6]
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- Authors
- Millar, R. B., & Anderson, M. J.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Millar, Russell B.
- Venue
- Fisheries Research
- Publisher
- Elsevier BV
- Published
- 2004-12
- Volume
- 70
- Issue
- 2-3
- Pages
- 397-407
- ISSN
- 0165-7836 (ISSN-L)
- OpenAlex
- W1975325658
- Cited by
- 292
- References
- 33
- Citations by year
- 2026: 13 · 2025: 9 · 2024: 11 · 2023: 14 · 2022: 20 · 2021: 31 · 2020: 22 · 2019: 12 · 2018: 19 · 2017: 21 · 2016: 22 · 2015: 27 · 2014: 12 · 2013: 13 · 2012: 8
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Fisheries Research (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Keywords
- pseudoreplication, fisheries data analysis, mixed models, generalized linear mixed models, state-space model, geostatistics, sampling design
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