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Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard
Le Kang,
Chengjie Xiong
, Lili Tian
Institute for Informatics, Data Science and Biostatistics
Institute for Public Health
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard'. Together they form a unique fingerprint.
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Mathematics
Diagnostic Accuracy
100%
Gold
82%
Alzheimer's Disease
69%
Diagnostics
65%
Confidence interval
54%
Receiver Operating Characteristic Curve
40%
Standards
36%
Partial
32%
Misclassification Error
24%
Nonparametric Bootstrap
22%
Ethics
21%
Cohort Study
21%
Parametric Bootstrap
21%
Pivot
20%
Expectation-maximization Algorithm
19%
Interval Estimation
18%
Coverage Probability
17%
Normality
15%
Parameter Estimation
14%
Maximum Likelihood
14%
Concepts
8%
Estimate
7%
Engineering & Materials Science
Maximum likelihood
12%
Parameter estimation
12%