Enabling analytical power calculations for multilevel models with autocorrelated errors through deriving and approximating the precision matrix
Author:
Funder
Research Council of KU Leuven
Fund for Scientific Research-Flanders
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.3758/s13428-024-02435-y.pdf
Reference55 articles.
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3. Ariens, S., Adolf, J. K., & Ceulemans, E. (2023). One does not simply correct for serial dependence. Structural Equation Modeling: A Multidisciplinary Journal, 30(5), 807–821.
4. Ariens, S., Ceulemans, E., & Adolf, J.K. (2020). Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overview. Journal of Psychosomatic Research, 110191
5. Astivia, O. L. O., Gadermann, A., & Guhn, M. (2019). The relationship between statistical power and predictor distribution in multilevel logistic regression: A simulation-based approach. BMC Medical Research Methodology, 19(1), 97–117.
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