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Semiparametric analysis for recurrent event data with time-dependent covariates and informative censoring
C. Y. Huang, J. Qin,
M. C. Wang
Bloomberg School of Public Health
Research output
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Contribution to journal
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Article
›
peer-review
42
Scopus citations
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Mathematics
Informative Censoring
100%
Time-dependent Covariates
91%
Recurrent Events
88%
Censoring
56%
Frailty
42%
Semiparametric Inference
16%
Cohort Study
14%
Intensity Function
14%
Terminate
12%
Semiparametric Model
12%
Baseline
12%
Numerical Study
10%
Covariates
9%
Sample Size
8%
Regression
8%
Methodology
8%
Observation
7%
Formulation
7%
Demonstrate
6%
Framework
6%
Estimate
5%
Agriculture & Biology
cohort studies
45%
data analysis
31%
sampling
23%
methodology
18%
Medicine & Life Sciences
Frailty
32%
Data Analysis
14%
Correlation of Data
10%
Sample Size
8%
Acquired Immunodeficiency Syndrome
7%
Hospitalization
7%
Observation
6%
Cohort Studies
6%
Chemical Compounds
Time
24%
Application
4%