RAND Statistics Group Staff Bios


A-B-C-D | E-F-G-H | I-J-K-L | M-N-O-P | Q-R-S-T | U-V-W-X-Y-Z

A-B-C-D

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

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.

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

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

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

Layla Parast

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Risk prediction, survival analysis, biostatistics, prediction accuracy, meta-analysis, robust methods, nonparametric methods

Q-R-S-T

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