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A latent class approach for joint modeling of a time-to-event outcome and multiple longitudinal biomarkers subject to limits of detection
Menghan Li, Ching Wen Lee,
Lan Kong
Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Penn State Clinical and Translational Science Institute (CTSI)
Research output
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Contribution to journal
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Article
›
peer-review
1
Scopus citations
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Dive into the research topics of 'A latent class approach for joint modeling of a time-to-event outcome and multiple longitudinal biomarkers subject to limits of detection'. Together they form a unique fingerprint.
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Mathematics
Latent Class
100%
Joint Modeling
98%
Biomarkers
91%
Detection Limit
29%
Monte Carlo Algorithm
24%
Expectation-maximization Algorithm
24%
Cytokines
16%
Latent Class Analysis
15%
Latent Class Model
14%
Metropolis-Hastings
13%
Joint Model
13%
Pathway
12%
Progression
11%
Mortality
11%
Stratification
11%
Community
10%
Profile
8%
Target
8%
Trajectory
7%
Simulation Study
7%
Demonstrate
6%
Performance
6%
Estimate
4%
Model
3%
Medicine & Life Sciences
Limit of Detection
75%
Joints
50%
Biomarkers
46%
Latent Class Analysis
22%
Pneumonia
16%
Multicenter Studies
8%
Sepsis
8%
Disease Progression
8%
Cytokines
6%
Mortality
5%
Therapeutics
1%