A-B-C-D
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Denis Agniel |
 |
Biostatistics; multiple outcomes; big data; informatics; resampling; multiple hypothesis testing; model selection; diverse data types; longitudinal data; semiparametric and nonparametric methods
|
Lane Burgette |
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Bayesian statistics; multinomial probit models; selection and switching models; latent factor quantile regression; imputation techniques for missing data; quantile regression; and data confidentiality.
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Marika Booth |
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Meta-analysis, Statistical programming, Statistics in health, GIS |
Q Burkhart |
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Hierarchical models; complex sampling designs; imputation of missing data; propensity scoring
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Timothy Bogart |
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longitudinal modeling, survival modeling |
Matthew Cefalu |
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Health and health care, education, environmental health, environmental quality, comparative effectiveness |
Maria DeYoreo |
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Bayesian statistics, Bayesian nonparametrics, hierarchical modeling, missing data, regression modeling, dynamic distributions |
E-F-G-H
|
Marc Elliott |
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Sampling; categorical data analysis; case-mix adjustment; propensity score technique; experimental design; survey mode effects |
Bonnie Ghosh-Dastidar |
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Applied statistics, multiple imputation, non-response, multilevel models, survey design and analysis |
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 Hambarsoomian |
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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 |
I-J-K-L
|
David Klein |
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Biostatistics; statistical programming; health applications
|
M-N-O-P
|
Lou Mariano |
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Regression discontinuity; propensity scoring; experimental and quasi-experimental design; Bayesian methods; item response theory;
hierarchical modeling; cross-classified models
|
Megan Mathews |
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Databases and data collection, analysis, and processing; health care quality measurement; statistical analysis methodology
|
Susan Paddock |
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Statistics, Bayesian methods, missing data, hierarchical models, bayesian nonparametrics; longitudinal data analysis; health services research; substance abuse treatment; mental health; quality of health care
|
Joseph Pane |
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Education policy; health and health care; hierarchical modeling; mixture modeling; statistical data analysis; statistical programming; survey analysis; survey methodology
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Layla Parast |
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Risk prediction, survival analysis, biostatistics, prediction accuracy, meta-analysis, robust methods, nonparametric methods |
Q-R-S-T
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Michael Robbins |
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Econometric models, economic analysis methodology, exploratory modeling, forecasting methodology, linear programming, program evaluation, regression analysis, robust decision making, statistical analysis methodology, survey research methodology |
Carolyn Rutter |
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Cancer screening, colorectal cancer, provider profiling, health policy, microsimulation modeling, bayesian methods, meta-analysis |
Lara Schmidt |
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Navigation and timing, space systems, risk analysis, time series analysis |
Claude Setodji |
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Non-parametric modeling, Clustering and analysis of observational data, Sufficient (variable) dimension reduction and its applications |
Anagha Tolpadi |
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Databases and data collection; analysis and processing; survey research methodology; statistical analysis methodology; case-mix adjustment; health care quality measurement
|
Mary Ellen Slaughter |
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Applied regression, categorical data analysis, survival analysis, epidemiology, statistical programming, cost-effectiveness, health care databases, geographic information systems |
