My primary research interest is in developing methods for dealing with missing data in sample surveys and in epidemiological studies. Many of these methods are motivated from a Bayesian perspective but do have desirable frequency or repeated sampling properties. The analysis of incomplete data from practical sample surveys poses additional problems due to extensive stratification, clustering of units and unequal probabilities of selection. The model-based approach provides a framework to incorporate all the relevant sampling design features in dealing with unit and item nonresponse in sample surveys. There are important computational challenges in implementing these methods in practical surveys.

My other research interests include methods for small area estimation, combining information from multiple surveys measurement error models, longitudinal data analysis and statistical methods for epidemiological studies. My applied interests include cardiovascular epidemiology, social epidemiology, health care utilization, and social and economic sciences.

I also have an appointment in the Survey Methodology Program at the Institute for Social Research. The Program, a multidisciplinary team of Sociologists, Statisticians and Psychologists, provides an opportunity to address methodological issues in: nonresponse, interviewer behavior and its impact on the results, response or measurement bias and errors, noncoverage, respondent cognition, privacy and confidentiality issues and data archiving. I have developed SAS based software, IVEWARE, for performing multiple imputation analysis and the analysis of complex survey data. This can be downloaded from the website www.isr.umich.edu/src/smp/ive

• T. E. Raghunathan and J. E. Grizzle, A split questionnaire survey design, Journal of American Statistical Association, 1995, 90:55-63.
• T. E. Raghunathan and D. S. Siscovick, A multiple imputation analysis of a case-control study of the risk of primary cardiac arrest among pharmacologically treated hypertensive. Applied Statistics, 1996, 45:335-352.
• T. E. Raghunathan and D. S. Siscovick, Combining exposure information from multiple sources in the analysis of a case-control study. Journal of Royal Statistical Society, Series D, The Statistician, 1998, 47:333-367.
• T. E. Raghunathan, J. M. Lepkowski, J.VanHoewyk and P. Solenberger, A Multivariate Technique for Multiply Imputing Missing Values Using a Sequence of Regression Models, Survey Methodology, 2001, 27:85-95.
• M. R. Elliott, T. E. Raghunathan and P. F. Waller, The Effect of Age at Time-of-License on Risk of Traffic Violation: Parametric Analysis of Repeated Time-to-Event Measures, Journal of American Statistical Association, 2002.