University of Michigan Institute for Social Research

Trivellore Raghunathan

Trivellore Raghunathan

teraghu@umich.edu

Research Professor, ISR; Professor of Biostatistics, School of Public Health; Research Professor, JPSM

Raghunathan received a PhD in statistics from Harvard University. Prior to joining the University of Michigan, he was a faculty member in the Department of Biostatistics at the University of Washington where he continues to be involved in projects at the UW Cardiovascular Health Research Unit. His research interests are in the 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.

Selected Publications:

Raghunathan, T. E. and Grizzle, J. E.,  (1995), "A Split Questionnaire Survey Design," Journal of American Statistical Association, 90:55-63.

Raghunathan, T. E. and Siscovick, D. S., (1996), "A Multiple Imputation Analysis of a Case-control Study of the Risk of Primary Cardiac Arrest Among Pharmacologically Treated Hypertensive," Applied Statistics, 45:335-352.

Raghunathan, T. E. and Rubin, D. B., (1997), "Roles for Bayesian Techniques in Survey Sampling," Proceedings of Statistical Society of Canada, 51-55.

Raghunathan, T. E. and Siscovick, D. S., (1998), "Combining Exposure Information From Multiple Sources in the Analysis of a Case-control Study," Journal of Royal Statistical Society, Series D, The Statistician, 47:333-367.

Little, R. J. A. and Raghunathan, T. E., (1999), "On Summary Measures Analysis of the Linear Mixed Effects Model for Repeated Measures When Data Are Not Missing Completely at Random," Statistics in Medicine Sep 15-30, 18(17-18):2465-78.

Raghunathan, T. E., (2000), "Bayesian Analysis of Quality Level Using Simulation Methods," Journal of Quality Technology, 32:172-82.

Raghunathan, T. E., Lepkowski, J. M., VanHoewyk J. and Solenberger, P., (2001), "A Multivariate Technique for Multiply Imputing Missing Values Using a Sequence of Regression Models," Survey Methodology, 27:85-95.