The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition
Open accessAbstract
Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process of
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2011) · Wiley Series in Probability and Statistics · doi:10.1002/9781119513469 · Cited by 4,639
Linear Mixed Models for Longitudinal Data
Verbeke, G. (1997) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2294-1_3 · Cited by 3,506
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Applied Survival Analysis Using R
Moore, D. F. (2016) · Use R! · doi:10.1007/978-3-319-31245-3 · Cited by 270
Cited by
Yan, C.-G., Chen, X., Li, L., Castellanos, F. X., Bai, T.-J., Bo, Q.-J., Cao, J., Chen, G.-M., Chen, N.-X., Chen, W., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900390116 · Cited by 895
Uncovering the hidden impacts of inequality on mental health: a global study
Yu, S. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0148-0 · Cited by 253
Heeringa, S. G., & Berglund, P. A. (2020) · doi:10.1101/2020.02.10.942011 · Cited by 247
Clemmons, A. W., Timbrook, J., Herron, J. C., & Crowe, A. J. (2020) · CBE—Life Sciences Education · doi:10.1187/cbe.19-11-0259 · Cited by 122
Böckler, A., Tusche, A., Schmidt, P., & Singer, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-31813-8 · Cited by 107
Metadata
- Authors
- West, B. T., Welch, K. B., & Galecki, A. T.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2014-07-17
- OpenAlex
- W4245935093
- Cited by
- 476
- References
- 4
- FWCI
- 6.95
- Type
- book
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition. https://app.cochat.ai/papers/10.1201/b17198
- The paper
- West, B. T., Welch, K. B., & Galecki, A. T. (2014). Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/b17198
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.
