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Testing for linear trends in proportions using correlated otolaryngology or ophthalmology data
Chap T Le
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Dive into the research topics of 'Testing for linear trends in proportions using correlated otolaryngology or ophthalmology data'. Together they form a unique fingerprint.
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Mathematics
Linear Trend
92%
Correlated Binary Data
67%
Trends
64%
Proportion
58%
Testing
46%
Statistic
38%
Antibiotics
31%
Reparameterization
28%
Biometrics
26%
Data Model
24%
Baseline
23%
Expected Value
22%
Agriculture & Biology
ophthalmology
97%
statistics
60%
ears
59%
otitis media
47%
biometry
36%
testing
25%
eyes
25%
antibiotics
24%
methodology
8%
Medicine & Life Sciences
Otolaryngology
73%
Ophthalmology
68%
Ear
57%
Statistics
50%
Otitis Media
36%
Anti-Bacterial Agents
21%
Eye
20%
Engineering & Materials Science
Ophthalmology
100%
Statistics
48%
Antibiotics
46%
Testing
33%
Biometrics
32%
Data structures
26%
Chemical Compounds
Antimicrobial Agent
45%
Time
23%