Home > People > U-M Researchers . Off-Campus . Training . Postdocs . Predocs . Staff . Experts . Disciplines

Email Address
734-764-8365
room: 1355

Google Scholar Profile

Funded Research:

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

Group Learning Achieves Decreased Incidents of Lower Urinary Symptoms (HHS-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)

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

Robert Wood Johnson Health and Society Scholars (RWJ)

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

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US Army (NIMH)

Neighborhoods and CVD Risk in a Multiethnic Cohort (NHLBI)

Ph.D., Harvard University

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.

Select Publications

Books

Raghunathan, Trivellore. 2016. Missing Data Analysis in Practice. Boca Ranton, FL: CRC Press.

Journal Articles

Yucel, Recai M., Enxu Zhao, Nathaniel Schenker, and Trivellore Raghunathan. Forthcoming. "Sequential Hierarchical Regression Imputation." Journal of Survey Statistics and Methodology. DOI. Abstract.

Wu, Meihua, Ana Diez-Roux, Trivellore Raghunathan, and Brisa N. Sanchez. Forthcoming. "FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies." Biometrics. DOI. Abstract.

Wagner, Todd H., Trivellore Raghunathan, Jennifer Yang Scott, Diane K. Newman, Janis M. Miller, Keri Kirk, Mary Ann DiCamillo, Ananias C. Diokno, an, et al. Forthcoming. "Costs and Sustainability of a Behavioral Intervention for Urinary Incontinence Prevention." Urology Practice. DOI. Abstract.

Sampselle, Carolyn M., Diane K. Newman, Janis M. Miller, Keri Kirk, Mary Ann DiCamillo, Todd H. Wagner, Trivellore Raghunathan, and Ananias C. Diokno. 2017. "A Randomized Controlled Trial to Compare 2 Scalable Interventions for Lower Urinary Tract Symptom Prevention: Main Outcomes of the TULIP Study." The Journal of urology, 197(6): 1480-1486. DOI. Abstract.

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

Newman, Diane, Carolyn Sampselle, Trivellore Raghunathan, Janis Miller, Keri Kirk, Rebecca Kimmel, and Maryann DiCamillo. 2016. "Translating Unique Learning for Incontinence Prevention, the Tulip Project: Comparative Effectiveness Study of a Diverse Population of Adult Women Receiving Bladder Health Education." 2016 Annual Meeting Program AbstractsAUA Annual Meeting, 195(4, Supplement): e871-872. DOI.

View additional select publications of Trivellore Raghunathan