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Nonparametric estimation of bivariate failure time associations in the presence of a competing risk
Karen Bandeen-Roche
, Jing Ning
Bloomberg School of Public Health
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
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Dive into the research topics of 'Nonparametric estimation of bivariate failure time associations in the presence of a competing risk'. Together they form a unique fingerprint.
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Mathematics
Competing Risks
89%
Failure Time
82%
Nonparametric Estimation
76%
Cause-specific Hazard
37%
Dementia
36%
Cross ratio
33%
Kendall's tau
32%
Nonparametric Methods
27%
Hazard
27%
Partitioning
24%
Intuitive
23%
Small Sample
23%
Invariance
21%
Target
20%
Estimator
14%
Performance
14%
Business & Economics
Competing Risks
100%
Nonparametric Estimation
92%
Hazard
50%
Kendall's tau
37%
Dementia
36%
Nonparametric Methods
28%
Partitioning
28%
Invariance
28%
Small Sample
23%
Estimator
19%
Performance
9%
Engineering & Materials Science
Hazards
64%
Bins
40%
Invariance
38%
Agriculture & Biology
dementia
52%
methodology
19%
sampling
13%
Medicine & Life Sciences
Dementia
20%