Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
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
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
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.
Sort by
Weight
Alphabetically
Mathematics
Biomarkers
91%
Community
10%
Cytokines
16%
Demonstrate
6%
Detection Limit
29%
Estimate
4%
Expectation-maximization Algorithm
24%
Joint Model
13%
Joint Modeling
98%
Latent Class
100%
Latent Class Analysis
15%
Latent Class Model
14%
Metropolis-Hastings
13%
Model
3%
Monte Carlo Algorithm
24%
Mortality
11%
Pathway
12%
Performance
6%
Profile
8%
Progression
11%
Simulation Study
7%
Stratification
11%
Target
8%
Trajectory
7%
Medicine & Life Sciences
Biomarkers
46%
Cytokines
6%
Disease Progression
8%
Joints
50%
Latent Class Analysis
22%
Limit of Detection
75%
Mortality
5%
Multicenter Studies
8%
Pneumonia
16%
Sepsis
8%
Therapeutics
1%