Anuradha Roy holds a Ph.D. in applied statistics from Oakland University in Michigan, an M.Stat. in advanced probability and mathematical statistics from the Indian Statistical Institute and a B.Sc. in mathematics from Calcutta University (Presidency College) in India.
Professor Roy’s research interests include developing classification rules for multi-level multivariate data with structured mean vectors and structured covariance matrices. She also works on linear models for multi-level multivariate data. As an applied statistician she has a passion to work with applied problems. Areas of application include medical and biomedical sciences and engineering applications.
Professor Roy’s research has appeared in numerous journals including Computational Statistics and Data Analysis, Journal of Statistical Planning and Inference, Statistics in Medicine, Biometrical Journal, Bone and Journal of Clinical Oncology, as well as a book chapter. She has reviewed three scholarly books, including the recent 2011 Negative Binomial Regression by Joseph M. Hilbe.
- Multivariate analysis
- Mixed effects models and multi-level multivariate data
- Applied statistics
“Linear Discrimination for Three-level Multivariate Data with Separable Additive Mean Vector and Doubly Exchangeable Covariance Structure,” with R. Leiva, Computational Statistics and Data Analysis, Vol.56, No. 6, 2012, pp. 1644-1661.
“Linear Models with Doubly Exchangeable Distributed Errors,” with M. Fonseca, Communications in Statistics–Theory and Methods, Vol.41, No. 13, 2012, pp. 2545-2569.
“Linear Discrimination for Multi-level Multivariate Data with Separable Means and Jointly Equicorrelated Covariance Structure,” with R. Leiva, Journal of Statistical Planning and Inference, Vol. 141, No. 5, 2011, pp. 1910-1924.
“Classification Rules for Triply Multivariate Data with an AR(1) Correlation Structure on the Repeated Measures over Time,” with R. Leiva, Journal of Statistical Planning and Inference, Vol. 139, No. 8, 2009, pp. 2598-2613.
“An Application of Linear Mixed Effects Model to Assess the Agreement between Two Methods with Replicated Observations,” 19, No. 1, 2009, pp. 150-173.
“Likelihood Ratio Tests for Triply Multivariate Data with Structured Correlation on Spatial Repeated Measurements,” with R. Leiva, Statistics & Probability Letters, Vol. 78, No. 13, 2008, pp. 1971-1980.
“Computation Aspects of the Parameter Estimates of Linear Mixed Effects Model in Multivariate Repeated Measures Set-up,” Journal of Applied Statistics, Vol. 35, No. 3, 2008, pp. 307-320.
“Discrimination with Jointly Equicorrelated Multi-level Multivariate Data,” with R. Leiva, Advances in Data Analysis and Classification, Vol. 1, No. 3, 2007, pp. 175-199.
“Classification Rules for Repeated Measures Data from Biomedical Research,” with R. Khattree, in Computational Methods in Biomedical Research, eds. R. Khattree and D. N. Naik, Chapman & Hall/CRC Biostatistics Series, Boca Raton, FL, 2007, pp. 323-370.
“Retrospective Study of Factors Affecting Non-Healing of Wounds During Hyperbaric Oxygen Therapy,” with C. M. Oubre, C. Toner and J. Kalns, Journal of Wound Care, Vol. 16, No. 6, 2007, pp. 245-250.
“Age-Related Factors Affecting the Postyield Energy Dissipation of Human Cortical Bone,” with J. S. Nyman, J. H. Tyler, R. L. Acuna, J. H. Gayle and X. Wang, Journal , Vol. 25, No. 5, 2007, pp. 646-655.
“A New Classification Rule for Incomplete Doubly Multivariate Data using Mixed Effects Model with Performance Comparisons on the Imputed Data,” Statistics in Medicine, Vol. 25, No. 10, 2006, pp. 1715-1728.
“Estimating Correlation Coefficient between Two Variables with Repeated Observations using Mixed Effects Model,” Biometrical Journal, Vol. 48, No. 2, 2006, pp. 286-301.
“Age-Related Effect on the Concentration of Collagen Cross-Links in Human Osteonal and Interstitial Bone Tissue,” with J. S. Nyman, R. L. Acuna, H. J. Gayle, M. J. Reyes, J. H. Tyler, D. D. Dean and X. Wang, Bone, Vol. 39, No. 6, 2006, pp. 1210-1217.
“On Discrimination and Classification with Multivariate Repeated Measures Data,” with R. Khattree, Journal of Statistical Planning and Inference, Vol. 134, No. 2, 2005, pp. 462-485.
“Tree-Based Model for Breast Cancer Prognostication,” with M. Banerjee, J. George, E. Y. Song and W. Hryniuk, Journal of Clinical Oncology, Vol. 22, No. 13, 2004, pp. 2567-2575.
“A Retrospective Evaluation of Digital Wound Imaging to Predict Response to Hyperbaric Oxygen Treatment,” with J. Kalns, C. Loeffler and J. K. Wright, Ostomy/Wound Management, Vol. 50, No. 4, 2004, pp. 36-48.