Skip to main navigation
Skip to search
Skip to main content
Research Profiles at Washington University School of Medicine Home
Help & FAQ
Home
Profiles
Departments, Divisions and Centers
Research output
Search by expertise, name or affiliation
Kernel-based global MLE of partial linear random effects models for longitudinal data
Lei Liu
, Zhihua Sun
Institute for Informatics, Data Science and Biostatistics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute for Public Health
DBBS - Biomedical Informatics and Data Science
Rheumatic Diseases Research Resource-Based Center
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Kernel-based global MLE of partial linear random effects models for longitudinal data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Random Effects Model
74%
Maximum Likelihood Method
69%
Longitudinal Data
68%
Linear Model
56%
kernel
43%
Partial
43%
Panel Data
27%
Gaussian Quadrature
27%
Survey Data
26%
Local Approximation
25%
Kernel Methods
25%
Likelihood Methods
24%
Semiparametric Model
24%
Random Effects
21%
Likelihood
18%
Asymptotic Properties
18%
Grid
17%
Costs
15%
Simulation Study
15%
Modeling
13%
Demonstrate
12%
Estimator
12%
Performance
12%
Business & Economics
Longitudinal Data
100%
Kernel
77%
Random Effects Model
76%
Maximum Likelihood
38%
Kernel Methods
26%
Quadrature
18%
Medical Costs
17%
Survey Data
16%
Medical Expenditures
16%
Asymptotic Properties
15%
Panel Survey
15%
Grid
14%
Random Effects
13%
Simulation Study
12%
Approximation
10%
Estimator
10%
Modeling
7%
Performance
4%