Research Interests:  Survey methodology, Bayesian statistics, Nonsampling errors, Correlated data analysis, Categorical data analysis, Health statistics.

Balgobin Nandram received a MS degree in Applied Statistics at Imperial College of Science, Technology and Medicine in 1981. After serving for three years in Guyana, he came to the United States in 1984. He studied at first at the State University of New York at Albany, and after one year, he moved to the University of Iowa where he earned the PhD in Statistics after an additional four years. For his PhD thesis, he worked on the Patterns of Care Study in which a comparison is made of the quality care given to radiation therapy patients in various cancer facilities across the United States.

In 1989 he joined the Department of Mathematical Sciences at the Worcester Polytechnic Institute (WPI) in Massachusetts as Assistant Professor of Statistics. In 1995 he obtained tenure from WPI and was promoted to Associate Professor, and in 2003 he was promoted to Professor of Statistics. At WPI he has worked on the MS theses of more than twenty-five students, and has supervised a few PhD theses.

He is a fellow of the American statistical Association, and an elected member of the International Statistical Institute and Sigma Xi, the Scientific Research Society. He has served as an Associate Editor for the American Statistician, and is currently serving as an Associate Editor for the Journal of the American Statistical Association (Applications and Case Studies).

From January 1999 - June 2000 he was the first NCHS/ASA Research Fellow at the National Center for Health Statistics (NCHS), Maryland. He visited the NCHS on two more stints: May - August 2001 and July 2002 - August 2003. Since 1999 he has worked on many contracts for the NCHS. In all these stints he served as a Research Scientist at the NCHS.

His research focuses mainly on the interface of survey methodology and Bayesian statistics. Recently, he has worked extensively on nonsampling errors such as nonresponse bias and selection bias. He has worked extensively on the applications of hierachical Bayesian models to many areas of science, and he is a strong leader in this area. He has also worked extensively on disease mapping of chronic obstructive pulmonary disease, all types of cancer and homicide. Specifically, he has spent much of his research career working on small area estimation. In all these problems, he has performed extensive statistical computation in which he used Markov chain Monte Carlo methods extensively. For the recent ten years he has worked extensively on the National Health and Nutrition Examination Survey to study obesity and osteoporosis. He gave over sixty invited presentations nationwide, and he has visited several foreign counties to present his research at conferences (e.g., Morocco, Spain, Mexico, Korea, Philippines, India and Australia).

Teaching Areas:Mathematical statistics, Sample surveys, Observational studies, Bayesian statistics, Categorical data analysis, Probability.

Selected Publications:

Nandram, B. and Choi, J. W. (2008), A Bayesian Allocation of Undecided Voters. Survey Methodology, 34, 37-49.

Nandram, B. and Zelterman, D. (2007), Computational Bayesian Inference for Estimating the Size of a Finite Population. Computational Statistics and Data Analysis, 51, 2934-2945.

Nandram, B. (2007), Bayesian Predictive Inference Under Informative Sampling Via Surrogate Samples, In Bayesian Statistics and Its Applications, Eds. S.K. Upadhyay, Umesh Singh and Dipak K. Dey, Anamaya, New Delhi, Chapter 25, 356-374.

Nandram, B., Choi, J. W., Shen, G. and Burgos, C. (2006), Bayesian Predictive Inference Under Informative Sampling and Transformation. Applied Stochastic Models in Business and Industry, 22, 559-572.

Nandram, B., Cox, L. and Choi, J.W. (2005), Bayesian Analysis of Nonignorable Missing Categorical Data: An Application to Bone Mineral Density and Family Income. Survey Methodology, 31, 213-225.

Nandram, B. and Choi, J.W. (2005), Hierarchical Bayesian Nonignorable Nonresponse Regression Models for Small Areas: An Application to the NHANES Data. Survey Methodology, 31, 73-84.

Nandram, B., Liu, N., Choi, J. W. and Cox, L. H. (2005), Bayesian Nonresponse Models for Categorical Data from Small Areas: An Application to BMD and Age. Statistics in Medicine, 24, 1047-1074.

Nandram, B. and Choi, J. W. (2002), Hierarchical Bayesian Nonresponse Models for Binary Data from small areas with Uncertainty about Ignorability. Journal of the American Statistical Association, 97, 381-388.

Nandram, B., Sedransk, J. and Pickle, L. (2000), Bayesian Analysis and Mapping of Mortality Rates for Chronic Obstructive Pulmonary Disease. Journal of the American Statistical Association, 95, 1110-1118.

Nandram, B. (1999), Empirical Bayes Interval Estimation for the Finite Population Mean of a Small Area. Statistica Sinica, 9, 325-343.

Nandram, B. (1998), A Bayesian Analysis of the Three-Stage Hierarchical Multinomial Model. Journal of Statistical Computation and Simulation, 61, 97-126.

Nandram, B. and Petruccelli, J. D. (1997), A Bayesian Analysis of Autoregressive Time Series Panel Data. Journal of Business and Economic Statistics, 15, 328-334.

Nandram, B. and Chen, M-H. (1996), Reparameterizing the Generalized Linear Model to Accelerate Gibbs Sampler Convergence. Journal of Statistical Computation and Simulation, 54, 129-144.

Nandram, B. (1995), Bayesian Cuboid Prediction Intervals: An Application to Tensile-Strength Prediction. Journal of Statistical Planning and Inference, 44, 2, 167-180.

Nandram, B. (1994), Bayesian Predictive Inference for Multivariate Sample Surveys. Journal of Official Statistics, 10, 167-179.

Nandram, B. and Sedransk, J. (1993), Bayesian Predictive Inference for Longitudinal Surveys. Biometrics, 49,1045-1055.