Mixed Models: Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data
By A. Cnaan, Nan M. Laird, P. Slasor. 2005
743 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e4c783c4fb958cd7f31f814aabda808c75c83f17
How researchers see this paper
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In Management Science and Operations Research
- Kevin J. Grimm
- J. Mcardle
- Satoshi Usami
- M. Voelkle
- Huy P Phan
- Chia-huei Wu
- Johan H. L. Oud
- Jonathon R. B. Halbesleben
Citations in the corpus
- Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data (2010, background): “These estimates are based on what is typically termed full information maximum likelihood (FIML; Little, 1995; McArdle, 1994; Cnaan, Laird, & Slasor, 1997 ).”
- Outcome of asthma and wheezing in the first 6 years of life: follow-up through adolescence. (2005, methodology): “A random effects model was used to test for differences in longitudinal lung function measures between the preschool wheeze phenotypes (11).”
- Poor airway function in early infancy and lung function by age 22 years: a non-selective longitudinal cohort study. (2007, methodology): “A random effects model was used to assess follow-up spirometry longitudinally (14)(15).”