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Linear Mixed Models: A Practical Guide Using Statistical Software
Abstract
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-nav
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“Marginal models estimate the regression coefficients in repeated measures studies with unbalanced data using maximum likelihood estimation, making use of the incomplete data in a way that does not bias the parameter estimates [24].”
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Metadata
- Authors
- West, B. T., Welch, K. B., & Galecki, A. T.
- ORCID
- West, Brady T.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2006-11-22
- OpenAlex
- W4233276628
- Cited by
- 300
- References
- 0
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 16 · 2023: 22 · 2022: 17 · 2021: 8 · 2020: 17 · 2019: 14 · 2018: 11 · 2017: 14 · 2016: 16 · 2015: 21 · 2014: 31 · 2013: 25 · 2012: 35
- FWCI
- 1.41
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
- Keywords
- linear mixed models, clustered data, longitudinal data, statistical software, model interpretation, data visualization, random effects
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