The Analysis of Repeated Measurements with Mixed-Model Adjusted F Tests

By R. Kowalchuk, H. Keselman, James Algina, Russell D. Wolfinger. 2004

134 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0084ad3f0aceea04a5d08f6e9be6bd9100e72961

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In Statistics and Probability

Citations in the corpus

Greenhouse–Geisser Adjustment and the ANOVA-Type Statistic: Cousins or Twins? (2009, methodology): “…comparing different methods for repeated-measures data have been reported (e.g., Keselman and Lix 1997; Vallejo, Fidalgo, and Fernández 2001; Kowalchuk et al. 2004; Vallejo and Livacic-Rojas 2005; Vallejo and Ato 2006; Vallejo, Arnau, and Ato 2007), including the aforementioned and a…”
The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration (2014, methodology): “Such scenarios include a comparison to Bayesian MCMC estimation (Baldwin and Fellingham 2013), properties of inferential tests such as type-I error rates from Kenward–Roger compared with other competing methods (Kowalchuk et al. 2004) and for unbalanced data (Spilke et al. 2005). Third, because the ”
Family Processes and Suicidal Ideation among Chinese Adolescents in Hong Kong (2011, unknown): “, fitting the true covariance structure to the data[15]) rather than imposing a certain type of structure as commonly used in traditional univariate and multivariate approaches[16].”
Method for the subjective assessment of intermediate quality level of (2014, methodology): “The first approach is the Improved General Approximation (IGA) Test [1], and the second approach is a specific variant of a maximum-likelihood based mixed-model analysis [23].”
Modeling Clustered Data with Very Few Clusters (2016, background): “Very broadly, the 30-cluster / 30-unit recommendation for minimum sample size with clustered data that is often attributed to Kreft (1996) still permeates in much applied literature but is quickly being rendered obsolete, outdated, and inaccurate as methodological advances continue to burgeon.”