ArticleCommunications in statistics: theory and methods2020
Sample Size Calculation for Count Outcomes in Cluster Randomization Trials with Varying Cluster Sizes.
Article in Communications in statistics: theory and methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Sample size estimation for the ratio of count outcomes in a cluster randomized trial using GEE.Communications in statistics: theory and methods · 2025Article
- Impact of Destination Image Formation on Tourist Trust: Mediating Role of Tourist Satisfaction.Frontiers in psychology · 2022Article
- Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation.Biometrical journal. Biometrische Zeitschrift · 2021Article
- Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome.Statistical methods in medical research · 2021Article
- Methods for dealing with unequal cluster sizes in cluster randomized trials: A scoping review.PloS one · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In many cluster randomization studies, cluster sizes are not fixed and may be highly variable. For those studies, sample size estimation assuming a constant cluster size may lead to under-powered studies. Sample size formulas have been developed to incorporate the variability in cluster size for clinical trials with continuous and binary outcomes. Count outcomes frequently occur in cluster randomized studies. In this paper, we derive a closed-form sample size formula for count outcomes accounting for the variability in cluster size. We compare the performance of the proposed method with the average cluster size method through simulation. The simulation study shows that the proposed method has a better performance with empirical powers and type I errors closer to the nominal levels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.