Research Professor, Director of Survey Research Center, ISR; Professor of Biostatistics, School of Public Health; Research Professor, JPSM
Trivellore Raghunathan is Chair and Professor of Biostatistics, Research Professor at the Institute for Social Research and Research Professor at University of Maryland. He received his Ph.D. in Statistics from Harvard University in 1987. He Joined University of Washington as Assistant Professor in 1987. He moved to University of Michigan 1994 as Associate Professor.
Analysis of incomplete data, multiple imputation, Bayesian methods, design and analysis of sample surveys, small area estimation, confidentiality and disclosure limitation, longitudinal data analysis and statistical methods for epidemiology.
Recai M Yucel, Enxu Zhao, Nathaniel Schenker, Trivellore E Raghunathan; Sequential Hierarchical Regression Imputation, Journal of Survey Statistics and Methodology, Volume 6, Issue 1, 1 March 2018, Pages 1–22, https://doi.org/10.1093/jssam/smx004
Lohr, Sharon L.; Raghunathan, Trivellore E. Combining Survey Data with Other Data Sources. Statist. Sci. 32 (2017), no. 2, 293--312. doi:10.1214/16-STS584. https://projecteuclid.org/euclid.ss/1494489817
Kaciroti N. A., and Raghunathan T. (2014), Bayesian sensitivity analysis of incomplete data: bridging pattern‐mixture and selection models, Statist. Med., 27, 4841–4857, DOI: 10.1002/sim.6302
(2007) Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening, Journal of the American Statistical Association, 102:478, 474-486,
E. Raghunathan, Trivellore & Lepkowski, James & H. Van Hoewyk, John & W. Solenberger, Peter. (2000). A Multivariate Technique for Multiply Imputing Missing Values Using a Sequence of Regression Models. Survey Methodology. 27.
Current Research Projects