Claude Messan Setodji

Photo of Claude Setodji
Senior Statistician
Pittsburgh Office

Education

Ph.D. in statistics, University of Minnesota

Overview

Claude Messan Setodji is a senior statistician at the RAND Corporation. His research interests include applications of statistics to public policy, especially in health care cost and care, causal inferences, sampling techniques, and data reduction and visualization. Setodji's current work focuses on improved quantitative methods in health and child development quality assessments and the development of statistical methods for inference on ecological momentary assessment of health and behavior intention outcomes. He is also currently working on causal inference propensity score methods in the presence of measurement errors in covariates. He recently led RAND projects including the evaluation of the redesign of the Nationwide Inpatient Sample and the development of small area estimation cost-effective and statistically reliable approaches for deriving estimates of the prevalence of various health risk behaviors, risk factors, and outcomes in small racial, ethnic, and other hard-to-reach populations in the U.S. Setodji is the lead statistician on the Urologic Diseases in America project that has been documenting the impact of urologic diseases on the American public and its policy implications. He also has interest in international education and health care policy. He earned his Ph.D. in statistics from the University of Minnesota.

Recent Projects

  • Identifying Threshold Levels of Structural and Process Quality
  • Consumer Assessment of Healthcare Providers and Systems CAHPS IV
  • Assessment of Advertising on smoking behavior
  • Urologic diseases in America
  • Evaluation of Federally Qualified Health Center Demonstration

Selected Publications

Setodji C.M., Le, V. and Schaack D., "Using generalized additive modeling to empirically identify thresholds within the ITERS in relation to toddlers' cognitive development.," Developmental Psychology, 2010 (forthcoming)

Setodji C.M., Scheuner M., Pankow J.S., Blumenthal R.S., Chen H. and Keeler E., "A graphical method for assessing risk factor threshold values using the generalized additive model: The Multi-Ethnic Study of Atherosclerosis.," Health Services and Outcomes Research Methodology, 12:62-79, 2012

Setodji C.M., Le, V. and Schaack D., "Accounting for Movement between Childcare Classrooms: Does it Change Interpretations of Teacher Effects?" Applied Developmental Psychology, 33(1):1-12, 2012

Setodji C.M., Reise S.P., Morales L.S., Fongwa M.N.,Hays R.D., "Differential Item Functioning by Survey Language Among Older Hispanics Enrolled in Medicare Managed Care A New Method for Anchor Item Selection.," Medical Care, 49:461-468, 2011

Setodji M.C., Li L., "Model free multivariate reduced-rank regression with categorical predictors.," Statistica Sinica, 19:1119-1136, 2009

Lockwood JR, McCaffrey DF, Mariano LT, Setodji C., "Bayesian methods for scalable multi-subject value-added assessment.," Journal of Educational and Behavioral Statistics, 32:125-150, 2007

Cook, R.D. and Setodji, M.C., "A model-free test for reduced ranked in multivariate Regression," Journal of the American statistical association, 98:340-351, 2002

Setodji, M.C. and Cook, R.D., "K-mean inverse regression," Technometrics, 46:421-429, 2002

Publications