ArticlePloS one2021
A power approximation for the Kenward and Roger Wald test in the linear mixed model.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Incentives and practice improve prospective memory performance in older adults.Aging clinical and experimental research · 2025Article
- Hyperopic Eyes Are Structurally More Dynamic Than Myopic Eyes During Accommodation: An In Vivo Investigation.Investigative ophthalmology & visual science · 2025Article
- Power and sample size for reversible linear mixed models with clustering and longitudinality: GLIMMPSE Version 3.PloS one · 2025Article
- Cognitive Maps for a Non-Euclidean Environment: Path Integration and Spatial Memory on a Sphere.Psychological science · 2024Article
- Analysis of multiple-period group randomized trials: random coefficients model or repeated measures ANOVA?Trials · 2022Article
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4 authors.
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Abstract
We derive a noncentral [Formula: see text] power approximation for the Kenward and Roger test. We use a method of moments approach to form an approximate distribution for the Kenward and Roger scaled Wald statistic, under the alternative. The result depends on the approximate moments of the unscaled Wald statistic. Via Monte Carlo simulation, we demonstrate that the new power approximation is accurate for cluster randomized trials and longitudinal study designs. The method retains accuracy for small sample sizes, even in the presence of missing data. We illustrate the method with a power calculation for an unbalanced group-randomized trial in oral cancer prevention.
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