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Le Bao
Professor
,
Statistics
Huck Institutes of the Life Sciences
Center for Infectious Disease Dynamics
h-index
758
Citations
14
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2006
2024
Research activity per year
Overview
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Network
Grants & Projects
(2)
Research output
(50)
Similar Profiles
(6)
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Dive into the research topics where Le Bao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Medicine & Life Sciences
Acquired Immunodeficiency Syndrome
62%
Africa South of the Sahara
25%
Alcohol Drinking
11%
Anonymous Testing
25%
Bayes Theorem
10%
Calibration
8%
Cluster Analysis
27%
Codon
22%
Communicable Diseases
12%
Confidence Intervals
11%
Datasets
16%
Deer
15%
Disease Outbreaks
10%
Endogenous Retroviruses
15%
Equidae
13%
Gammaretrovirus
17%
Gene-Environment Interaction
14%
Genome
20%
HDL Cholesterol
14%
High-Throughput Nucleotide Sequencing
10%
History
8%
HIV
100%
Incidence
23%
Infections
11%
Information Storage and Retrieval
19%
Joints
9%
LDL Cholesterol
21%
Malawi
14%
Markov Chains
13%
Myocardial Infarction
8%
Population
10%
Precision Medicine
9%
Pregnant Women
11%
Prospective Studies
14%
Rheumatoid Arthritis
18%
Sample Size
8%
Sentinel Surveillance
20%
Sex Workers
43%
Single Nucleotide Polymorphism
8%
Statistical Factor Analysis
10%
Statistical Models
20%
Stochastic Processes
11%
Systematic Reviews
8%
Tea
12%
Terminal Repeat Sequences
8%
Type 2 Diabetes Mellitus
8%
Uncertainty
13%
United Nations
19%
Mathematics
Africa
16%
Assignment
12%
Awareness
7%
Bayesian Estimation
12%
Bayesian Hierarchical Model
32%
Bayesian Model
6%
Bayesian Networks
14%
Calibration
7%
Clustering
12%
Clustering Algorithm
7%
Community
9%
Copula
11%
Count
11%
Demonstrate
6%
Diabetes
8%
Drugs
17%
Estimate
24%
Evolutionary Algorithms
13%
Expert Opinion
9%
Exponential Model
13%
Gene
12%
Genome
42%
Genomics
11%
Genotype
13%
Grammatical Evolution
11%
High Throughput
7%
Importance Sampling
13%
Interaction
12%
Learning
10%
Learning Algorithm
6%
Main Effect
7%
Medicine
7%
Mixture Model
12%
Model
11%
Modeling
14%
Oncology
15%
Pathway
20%
Phenotype
13%
Population Size
11%
Population Size Estimation
18%
Ranking
11%
Resampling
7%
Scale-up
17%
Sequencing
15%
Single nucleotide Polymorphism
7%
Testing
9%
Trends
13%
Uncertainty
6%
