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Sample size considerations for stratified cluster randomization design with binary outcomes and varying cluster size
Xiaohan Xu, Hong Zhu,
Chul Ahn
Clinical Sciences
Simmons Comprehensive Cancer Center
Clinical Sciences - Clinical Research Design
SPH-Public Health
Peter O'Donnell Jr. School of Public Health
Research output
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Contribution to journal
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Article
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peer-review
7
Scopus citations
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Dive into the research topics of 'Sample size considerations for stratified cluster randomization design with binary outcomes and varying cluster size'. Together they form a unique fingerprint.
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Mathematics
Binary Outcomes
100%
Randomisation
86%
Sample Size
61%
Design
49%
Number of Clusters
23%
Hypertension
9%
Prognostic Factors
9%
Power Analysis
8%
Multilevel Models
8%
Kidney
8%
Diabetes
8%
Parameter Design
7%
Healthcare
7%
Baseline
6%
Clinical Trials
5%
Clustering
5%
Statistic
5%
Closed-form
5%
Evaluate
4%
Simulation Study
4%
Performance
3%
Medicine & Life Sciences
Random Allocation
78%
Sample Size
71%
Cluster Analysis
20%
Health Services Research
13%
Chronic Renal Insufficiency
10%
Statistics
8%
Clinical Trials
7%
Hypertension
7%