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The study aims to evaluate two effect size measures for their effectiveness in power and sample size calculations in quasi-likelihood models.

Robust power and sample size calculations in quasi-likelihood models: methods and practice

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The study aims to evaluate two effect size measures for their effectiveness in power and sample size calculations in quasi-likelihood models.
Simulation studies were conducted across various outcome types, link functions, and variance structures.
Two effect size measures, 2SLiP and P2R2, were applied to survey data regarding PPE adequacy and burnout risk.
Wald tests and score tests were utilized to assess the performance of the effect size measures.
Both effect size measures showed power estimates within 2% of the target and sample size estimates within 3%.
Effect sizes for PPE adequacy indicated small but meaningful associations with burnout risk, adjusting for covariates.
Recommendations for sample size calculations proved accurate using 2SLiP and P2R2.

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Randomized trial examines power and sample size calculations in quasi-likelihood models, suggesting robust measures for practical use.

Yuan et al. (2026) studied this question.

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