Trivellore E Raghunathan
- Email Trivellore E Raghunathan
- (734)647-4619
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BIO
Trivellore Raghunathan (Raghu) is a Research Professor in the Survey Research Center at the Institute for Social Research. He is a Professor of Biostatistics at the School of Public Health. He is also a Research Professor in the Joint Program in Survey Methodology at the University of Maryland. He served as Director of the Survey Research Center September 2015 – August 2019 and as the Chair of the Department of Biostatistics from January 2010 – August 2014. He is an Associate Director of the Center for Research on Ethnicity, Culture and Health (CRECH). He received his Ph.D. in Statistics from Harvard University in 1987. Before joining the University of Michigan in 1994, he was on the faculty in the Department of Biostatistics at the University of Washington. 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. He has developed a SAS based software for imputing the missing values for a complex data set and can be downloaded from IVEware: Imputation and Variance Estimation Software.
- Paul Burton, Sunghee Lee, Trivellore E Raghunathan, Brady Thomas West. 2024. Combining Information from Multiple Data Sources to Improve Sampling Efficiency. methods, data, analyses 18(2)
- Wenshan Yu, Michael R Elliott, Trivellore E Raghunathan. 2024. Three Approaches to Improve Inferences Based on Survey Data Collected with Mixed-mode Designs. Journal of Survey Statistics and Methodology 12(3):814-839.
- Wenshan Yu, Michael R Elliott, Trivellore E Raghunathan. 2024. Three Approaches to Improve Inferences Based on Survey Data Collected with Mixed-mode Designs. Journal of Survey Statistics and Methodology 12(3):814-839.
- Trivellore E Raghunathan. 2024. Modeling in Sample Surveys: Discussion of Professor Valliant's Hansen Lecture 2022. Journal of Survey Statistics and Methodology 12(2):311-319.
- Seth Warschausky, Jennifer C. Gidley-Larson, Trivellore E Raghunathan, Patricia Berglund, Alissa Huth-Bocks, H. Gerry Taylor, Angela D. Staples, Angela Lukomski, John Barks, Renee Lajiness-O'Neill, PediaTrac Project Consortium. 2024. Longitudinal caregiver‐reported motor development in infants born at term and preterm. Developmental Medicine & Child Neurology 66(6):725-732.
- Singh, Lisa, Bao, Le, Bode, Leticia, Ceren Budak, Josh Pasek, Trivellore E Raghunathan, Michael W Traugott, Wang, Yanchen, Wycoff, Nathan. 2024. Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine. npj Vaccines 9(1):1-12.
- Yajuan Si, Steven G Heeringa, Johnson, David, Roderick J Little, Liu, Wenshuo, Fabian T Pfeffer, Trivellore E Raghunathan. 2023. Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics. Journal of Survey Statistics and Methodology 11(1):260-283.
- Cutler, David M., Ghosh, Kaushik, Messer, Kassandra L., Trivellore E Raghunathan, Rosen, Allison B., Stewart, Susan T.. 2023. A Satellite Account for Health in the United States. American Economic Review 112(2):494-533.
- Trivellore E Raghunathan, Kirtland, Karen, Li, Ji, White, Kevin, Murthy, Bhavini, Lin, Xia Michelle, Harris, Latreace, Gibbs-Scharf, Lynn, Zell, Elizabeth. 2023. Constructing State and National Estimates of Vaccination Rates from Immunization Information Systems. Journal of Survey Statistics and Methodology 11(3):688-712.
- Patricia C. Lasutschinkow, Jin Bo, Seth Warschausky, Trivellore E Raghunathan, Patricia Berglund, Alissa Huth-Bocks,, H. Gerry Taylor, Angela D. Staples,, Jennifer Cano, Gabrielle N. Le Doux,, Angela Lukomski, Jennifer C. Gidley Larson,, Renée Lajiness-O’Neill, PediaTrac Project Consortium. 2023. Convergent Validity Between the Motor Domain of PediaTracTM and Ages and Stages in Term and Preterm Infants at 2, 4, 6, and 9 Months of Age. Assessment 32(1):90-101.