The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models
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Citations
Cites
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552 · cited 1×
“The method proposed by Kenward and Roger (1997) that additionally adjusts for small-sample bias in the estimation of the covariance matrix is implemented as well.”
MethodMixed-Effects Models in S and S-PLUS
(2000) · Statistics and Computing · doi:10.1007/b98882 · Cited by 930
Cited by
Generalized linear mixed models: a practical guide for ecology and evolution
Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.10.008 · Cited by 8,910
SIMR : an R package for power analysis of generalized linear mixed models by simulation
Green, P., & MacLeod, C. J. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12504 · Cited by 2,467
On p-values for smooth components of an extended generalized additive model
Wood, S. N. (2013) · Biometrika · doi:10.1093/biomet/ass048 · Cited by 388
Linear and generalized linear mixed models
Bolker, B. M. (2015) · Ecological Statistics · doi:10.1093/acprof:oso/9780199672547.003.0014 · Cited by 339
On the behaviour of marginal and conditional AIC in linear mixed models
Greven, S., & Kneib, T. (2010) · Biometrika · doi:10.1093/biomet/asq042 · Cited by 253
Self-citation
Metadata
- Authors
- Scheipl, F., Greven, S., & Küchenhoff, H.
- Venue
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 52
- Issue
- 7
- Pages
- 3283-3299
- ISSN
- 0167-9473 (ISSN-L)
- OpenAlex
- W2062809207
- Cited by
- 321
- References
- 4
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models. https://app.cochat.ai/papers/10.1016/j.csda.2007.10.022
- The paper
- Scheipl, F., Greven, S., & Küchenhoff, H. (2008). Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models. Computational Statistics & Data Analysis. https://doi.org/10.1016/j.csda.2007.10.022
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
