Trivellore Raghunathan

Research Affiliate, Population Studies Center.
Director, Survey Research Center, Institute for Social Research.
Research Professor, Survey Research Center, Institute for Social Research.
Professor, Department of Biostatistics, School of Public Health.

Ph.D., Statistics, Harvard University

Research Interests: Dr. Raghunathan's 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.

teraghu@umich.edu

734-764-8365

News & Announcements

Raghunathan et al. found behavioral treatment reduces urinary incontinence

Raghunathan's new book incorporates practical guidance and analytic resources for using multiple imputation to address missing data problems

Select Publications

Sakshaug, Joseph W., Alexandru Cernat, and Trivellore Raghunathan. Forthcoming. "Do Sequential Mixed-Mode Surveys Decrease Nonresponse Bias, Measurement Error Bias, and Total Bias? An Experimental Study." Journal of Survey Statistics and Methodology.

Diokno, Ananias C., Trivellore Raghunathan, Diane K. Newman, Lisa K. Low, Tomas L. Griebling, Michael E. Maddens, Patricia S. Goode, Leslee L. Subak, et al. Forthcoming. "Effect of group-administered behavioral treatment on urinary incontinence in older women: A randomized clinical trial." JAMA Internal Medicine.

Mistry, Ritesh, Trivellore Raghunathan, Mangesh S. Pednekar, Prakash C. Gupta, Surekha Appikatla, Namrata Puntambekar, Keyuri Adhikari, Maqsood Siddiqi, an, et al. 2018. "Longitudinal study of adolescent tobacco use and tobacco control policies in India." BMC Public Health, 18(1): 815.

Lohr, Sharon L., and Trivellore Raghunathan. 2017. "Combining Survey Data with Other Data Sources." Statistical Science, 32(2): 293-312.

More publications for Trivellore Raghunathan...

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HUD Housing and Children's Healthy Development Supplemental Funding (HUD)

PediaTrac: Web-based Measure to Screen and Track Early Developmental Trajectories (NICHD)

Novel Methods for Incorporating Sample Design in Bayesian Inference (NSF)

Group Learning Achieves Decreased Incidents of Lower Urinary Symptoms (NIH)

Health, Wealth, and Time Use Over the Life Course and Across Generations (NIA)

Longitudinal Study of Adolescent Tobacco Use and Tobacco Control Policy in India (NCI)

Adding Key Health Measures to the Housing and Children's Health Development Study (RWJ)

How Randomly Distributed Vouchers Affect Biology and Health (NICHD)

Validation and Extension of the Michigan Barrett's Esophagus pREdiction Tool (M-Beret) (Veterans Affairs, Department of)

Group Learning Achieves Decreased Incidents of Lower Urinary Symptoms (NIA)

Housing Trade-Offs as They are Perceived and as They Affect Children's Well-Being - HUD (HUD)

Using Satellite National Health Accounts to Understand Health and Cost Changes (NIA)

Computing Statistics from Private Data (Sloan)

How Housing Affects Families with Children (MacArthur Foundation)

Housing Effects on Children's Development (NICHD)

Housing Trade-Offs as They are Perceived and as They Affect Children's Well-Being - NICHD (NICHD)

Reduction of Survey Length through Split Questionnaire Design: Consequences for Nonresponse and Measurement Error (NSF)

Addressing Disclosure Risk of Contextualized Microdata in Survey Design (OBSSR)

Neighborhoods and CVD Risk in a Multiethnic Cohort (NHLBI)

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