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Cited by 28Optimal Experimental Design MethodsStatistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Optimal Designs for Multilevel Studies

Moerbeek, Mirjam, Breukelen, Gerard J. P. Van, Berger, Martijn P.F.·2007·Handbook of Multilevel Analysis
DOI 10.1007/978-0-387-73186-5_4
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  • Using the Moerbeek et al. approach, N = 39 suffices to reach 80% power to detect a medium effect size (d = 0.5) at a two-tailed significance level of 0.05.

    “Using the more sophisticated power analysis approach proposed by Moerbeek et al. [(27), p. 191] for multilevel tests of a difference in linear slopes assessed with multiple (i.e., 7) measurements, for a medium effect size (d = 0.5) tested at a two-tailed significance level of 0.05, N = 39 suffices to reach 80% power.”

    From Timing of imagery rescripting during schema therapy for borderline personality disorder: the LUCY trial (2023) · cites this paper as [27]

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Authors
Moerbeek, M., Breukelen, G. J. P. V., & Berger, M. P. F.
Affiliations
  • Utrecht University (NL)
  • Maastricht University (NL)
ORCID
Moerbeek, Mirjam
Venue
Handbook of Multilevel Analysis
Publisher
Springer New York
Published
2007-12-25
Pages
177-205
DOI
10.1007/978-0-387-73186-5_4
OpenAlex
W2258225505
Cited by
28
References
71
Citations by year
2026: 2 · 2025: 2 · 2023: 3 · 2022: 1 · 2020: 2 · 2017: 2 · 2016: 1 · 2015: 3 · 2013: 2 · 2012: 2
FWCI
1.71
Type
book chapter
Language
en
Open access
closed
Locations
  • Springer eBooks (publishedVersion)
  • Research Publications (Maastricht University) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords
optimal experimental design, hierarchical data, design optimization

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