Skip to main navigation
Skip to search
Skip to main content
Rutgers, The State University of New Jersey Home
Help & FAQ
Home
Profiles
Research units
Core Facilities
Federal Grants
Research output
Search by expertise, name or affiliation
Power for T-test comparisons of unbalanced cluster exposure studies
Donald R. Hoover
School of Arts and Sciences, Statistics
Institute for Health, Health Care Policy & Aging Research
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Power for T-test comparisons of unbalanced cluster exposure studies'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Number of Subjects
100%
Exposure Study
100%
Number of Clusters
100%
T-test
100%
Test Comparison
100%
Unbalanced Clusters
100%
Cluster Exposure
100%
Epidemiological Research
33%
Health Services Research
33%
Power Estimation
33%
Continuous Outcomes
33%
Sample Size Calculation
33%
Cluster Level
33%
Cluster Sampling
33%
Intraclass Correlation Coefficient
33%
Clustered Designs
33%
Power Formula
33%
Minimal Detectable Difference
33%
Estimation Formula
33%
Iterative Applications
33%
Minimal Sample Size
33%
Weighted Clusters
33%
Mathematics
Total Number
100%
Optimal Design
100%
Upper Limit
100%
Intraclass Correlation
100%
Comparison Test
100%
T Test
100%
Sample Size Estimation
100%