Position/Title: Professor of
Biostatistics and Research Professor at the Institute for
Social Research, University of Michigan.
Department Affiliation: JPSM; Survey Methodology Program at the
Institute for Social Research, University of Michigan, Ann Arbor,
Michigan
Research Interests: Statistical analysis of incomplete data,
multiple imputation, Bayesian
inference, design and analysis of sample surveys, small area estimation,
analysis of longitudinal data, confidentiality and disclosure
limitation, cardiovascular epidemiology, social epidemiology
PhD Year and University: Ph.D.
Statistics, Harvard (1987)
Selected Publications:
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 and D. B. Rubin, Roles for Bayesian techniques in
survey
sampling, Proceedings of Statistical Society of Canada, 1997, 51-55.
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, 97, 420-431.
Raghunathan, T. E., Diehr, P. D., Cheadle, A. F. Combining Aggregate and
Individual Level Data to Estimate an Individual Level Correlation
Coefficient, Journal of Education and Behavioral Statistics, 2003, 28,
1-17.
Raghunathan, T. E., Rubin, D. B., and Reiter, J. E., Multiple Imputation
for Disclosure Limitation, Journal of Official Statistics, 2003, 19,
1-16.
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