Trivellore Raghunathan

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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.

Selected Publications:

Wagner J., Raghunathan T.E. (2010). A new stopping rule for surveys. Statistics in Medicine

Elliott, Michael R., Raghunathan T.E. and Li Y. (2010). Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes. Biostatistics, 11 (2), 353-372.

Schenker N., Raghunathan T.E. and Bondarenko I. (2010). Improving on Analyses of Self-Reported Data in a Large-Scale Health Survey by Using Information from an Examination-Based Survey. Statistics in Medicine, 29, 533-545.

Sanchez B.N., Raghunathan T.E., Diez Roux A.V., Zhu Y., Lee O. (2008). Combining data from primary and ancillary surveys to assess the association between neighborhood-level characteristics and health outcomes: the Multi-Ethnic Study of Atherosclerosis. Statistics in Medicine, 27 (27), 5745-63.

Xie D., Raghunathan T.E., Lepkowski J.M. (June, 2007). Estimation of the Proportion of Overweight Individuals in Small Areas- a Robust Extension of the Fay-Herriot Model. Statistics in Medicine, 26 (13), 2699-2715.

Raghunathan, T.E., Xie, D., Schenker, N, Parsons, V., Davis, W., Rancourt, E., Dodd, K. (2007). Combining Information from Multiple Surveys for Small Area Estimation: A Bayesian Approach. Journal of American Statistical Association

Schenker, N., Raghunathan, T.E. (2007). Combining information from multiple surveys to improve measures of health. Statistics in Medicine, 26, 1802-1811.

Schenker, N., Raghunathan, T.E., Chiu, P.L., Makuc, D.M., Zhang, G., Cohen, A.J. (2006). Multiple imputation of missing income data in the National Health Interview Survey. Journal of American Statistical Association

Raghunathan T.E., Rubin D.B., Reiter J.E. (2003). Multiple imputation for disclosure limitation. Journal of Official Statistics, 19, 1-16.

Raghunathan T.E., Lepkowski J.M., VanHoewyk J., Solenberger P., (2001). A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27, 85-95.