A-B-C-D
|
John Adams |
 |
Regression and econometric methods, optimized study design, and evaluation methodology
|
A. K. Burkhart |
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Data analysis, sampling, health applications |
Siddhartha Dalal |
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Health care markets, civil laws, regulation, and insurance |
E-F-G-H
|
Marc Elliott |
|
Sampling; Categorical Data Analysis; Case-Mix Adjustment; Propensity Score Technique; Experimental Design; Survey Mode Effects |
Cha-Chi Fan |
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Natural resource management, environmental health, climate change, and urban planning |
Lionel Galway |
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Data analysis, statistical computing, risk analysis |
Bonnie Ghosh-Dastidar |
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Applied statistics, Multiple imputation, Non-response, Multilevel models, Survey design and analysis |
Daniela Golinelli |
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Bayesian Statistics, Hierarchical Models, Propensity Scores, MCMC, Hidden Markov Models |
Beth Ann Griffin |
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Survival analysis; biostatistics; causal modeling; design of clinical and non-clinical studies |
Ann Haas |
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Data analysis, education and health applications |
Katrin Hambarsoomians |
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Data Imputation, Weighting, Longitudinal Analysis, Case-Mix Adjustment |
Bing Han |
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Bayesian statistics; simultaneous inference; linear model; multivariate analysis; longitudinal data analysis; categorical data analysis; computation; semiparametric regression |
Amelia Haviland |
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Analysis of observational data, propensity score analysis, latent trajectory group mixture modeling, nonparametrics, sampling, bootstrapping under complex sampling |
I-J-K-L
|
J.R. Lockwood |
|
Value-added modeling, hierarchical modeling, Bayesian methods |
M-N-O-P
|
Lou Mariano |
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Cross-classified models; Latent variable models; Bayesian hierarchical models; Markov Chain Monte Carlo techniques; statistical applications to mental measurement; Bayesian model selection; survey sampling, with emphasis on non-ignorable missing data |
Daniel McCaffrey |
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Value-Added Modeling, Analysis of clustered data, Propensity score methods for causal modeling |
Brett Munjas |
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Data analysis, biostatistics, applied regression, sampling, statistical programming |
Susan Paddock |
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Statistics, Bayesian methods, missing data, hierarchical models, Bayesian nonparametrics |
Q-R-S-T
|
Daniel Relles |
|
Statistical Computing, Data Analysis, Sampling, Linear Models, Data Management, Military Logistics and Health Applications |
Greg Ridgeway |
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Modeling massive datasets and data mining, non-parametric function estimation for prediction, boosting and optimization, propensity score analysis of observational |
Lara Schmidt |
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Navigation and timing, space systems, risk analysis, time series analysis |
Matthias Schonlau |
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Web surveys, Propensity score methods for Causal Inference, Data mining, Data Visualization |
Claude Setodji |
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Non-parametric modeling, Clustering and analysis of observational data, Sufficient (variable) dimension reduction and it's applications |
Mary Ellen Slaughter |
|
Applied regression, categorical data analysis, survival analysis, epidemiology, statistical programming, cost-effectiveness, health care databases, geographic information systems |
Marika Suttorp |
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Meta-analysis, Statistical programming, Statistics in health, GIS |
U-V-W-X-Y-Z
|
Annie Zhou |
|
Classical test theory, Categorical data analysis, Multivariate Exploratory Data Analysis, Item Response Theory analysis, Bayesian hierarchical models |
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