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


Denis Agniel

Send Email

Biostatistics; multiple outcomes; big data; informatics; resampling; multiple hypothesis testing; model selection; diverse data types; longitudinal data; semiparametric and nonparametric methods

Lane Burgette

Send Email

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

Send Email

Meta-analysis, Statistical programming, Statistics in health, GIS

Maria DeYoreo

Send Email

Bayesian statistics, Bayesian nonparametrics, hierarchical modeling, missing data, regression modeling, dynamic distributions


Marc Elliott

Send Email

Sampling and survey methodology; estimation of health disparities, quality measurement, experimental design; case-mix adjustment and survey mode effects

Lionel A. Galway

Send Email

Modeling and simulation, statistical analysis methodology

Bonnie Ghosh-Dastidar

Send Email

Applied statistics, multiple imputation, non-response, multilevel models, survey design and analysis

Thomas Goode

Send Email

Statistical analysis, statistical programming, nonparametric modeling, regression analysis, survival analysis, time series analysis, epidemiology

Beth Ann Griffin

Send Email

Causal inference, policy evaluation, machine learning, longitudinal data analysis

Ann Haas

Send Email

Data analysis, education and health applications

Gabriel Hassler

Send Email

Big data, biology and life sciences, COVID-19, data science, epidemics, genetics, infections diseases, machine learning, mathematics, statistical analysis methodology.

Katrin Hambarsoomian

Send Email

Data imputation, weighting, longitudinal analysis, case-mix adjustment


David Klein

Send Email

Biostatistics; statistical programming; health applications


Lou Mariano

Send Email

Regression discontinuity; propensity scoring; experimental and quasi-experimental design; Bayesian methods; item response theory; hierarchical modeling; cross-classified models

Megan Mathews

Send Email

Databases and data collection, analysis, and processing; health care quality measurement; statistical analysis methodology

Elie Ohana

Send Email

Regression modeling, propensity scoring, survey analysis, psychometrics, item response theory


Jessica Randazzo

Send Email

Survival analysis, causal inference, survey design and analysis, longitudinal methods; machine learning; mapping and spatial analysis

Michael Robbins

Send Email

Econometric models, economic analysis methodology, exploratory modeling, forecasting methodology, linear programming, program evaluation, regression analysis, robust decision making, statistical analysis methodology, survey research methodology

Dorothy Seaman

Send Email

Program evaluation; instrumental variables and regression discontinuity methods; multilevel models; longitudinal data, imputation methods, and prediction and analysis of latent traits

Claude Setodji

Send Email

Non-parametric modeling, clustering and analysis of observational data, sufficient (variable) dimension reduction and its applications

Flora Sheng

Send Email

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

Send Email

Applied regression, categorical data analysis, survival analysis, epidemiology, statistical programming, cost-effectiveness, health care databases, geographic information systems

Joshua Snoke

Send Email

Privacy, statistics, machine learning, differential privacy, synthetic, estimation

Anagha Tolpadi

Send Email

Databases and data collection; analysis and processing; survey research methodology; statistical analysis methodology; case-mix adjustment; health care quality measurement