A-B-C-D
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Denis Agniel |
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Biostatistics; multiple outcomes; big data; informatics; resampling; multiple hypothesis testing; model selection; diverse data types; longitudinal data; semiparametric and nonparametric methods
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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 |
Irineo Cabreros |
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Statistics, machine ;earning, survey sampling, experimental design, causal inference, high-dimensional statistics, latent variable modeling, statistical genetics, nonparametric statistics |
Matthew Cefalu |
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Health and health care, education, environmental health, environmental quality, comparative effectiveness |
Beth Mohr Dana |
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Regression modeling; propensity score estimation; complex survey analysis; epidemiology; sas programming |
Maria DeYoreo |
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Bayesian statistics, Bayesian nonparametrics, hierarchical modeling, missing data, regression modeling, dynamic distributions |
E-F-G-H
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Marc Elliott |
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Sampling and survey methodology; estimation of health disparities, quality measurement, experimental design; case-mix adjustment and survey mode effects |
Bonnie Ghosh-Dastidar |
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Applied statistics, multiple imputation, non-response, multilevel models, survey design and analysis |
Thomas Goode |
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Statistical analysis, statistical programming, nonparametric modeling, regression analysis, survival analysis, time series analysis, epidemiology |
Beth Ann Griffin |
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Causal inference, policy evaluation, machine learning, longitudinal data analysis |
Ann Haas |
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Data analysis, education and health applications |
Owen Hall |
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Regression analysis, ANOVA, hypothesis testing, statistical simulation, power and sample size calculations, bootstrapping techniques, nonparametric methods, supervised and unsupervised statistical learning algorithms, Bayesian modeling, survival analysis, survey response weighting, healthcare, biostatistics
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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
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David Klein |
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Biostatistics; statistical programming; health applications
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M-N-O-P
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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
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Megan Mathews |
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Databases and data collection, analysis, and processing; health care quality measurement; statistical analysis methodology
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Elie Ohana |
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Regression modeling, propensity scoring, survey analysis, psychometrics, item response theory
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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 |
Claude Setodji |
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Non-parametric modeling, clustering and analysis of observational data, sufficient (variable) dimension reduction and its applications |
Adam Scherling |
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Applied Statistics, Statistical Programming, Interactive Data Visualization |
Flora Sheng |
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Regression analysis, difference-in-difference analysis, trend analysis, inverse probability weighting, latent change score, claims data, quality of care, Medicare, Medicaid, opioid, HIV, obesity, smoking and tobacco control, ADHD |
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 |
Joshua Snoke |
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Privacy, statistics, machine learning, differential privacy, synthetic, estimation |
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
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U-V-W-X-Y-Z
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Brian Vegetabile |
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Statistics; causal inference, Bayesian statistics, regression modeling, statistical machine learning, hierarchical modeling, longitudinal data, nonparametric statistics
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