Research

Current research interests includes:

  • big data analytics
  • genetic epidemiology
  • high-dimensional and correlated data analysis
  • statistical genomics
  • survival analysis
  • variable selection via penalized optimization

Curriculum Vitae

Selected Publications († Graduate Student Under Supervision):

  • Lee, J.†, Wang, H., and Schifano, E.D. (2020+) Online Updating Method to Correct for Measure-
    ment Error in Big Data Streams. To appear: Computational Statistics & Data Analysis.
  • Schifano, E.D., Jeong, H., Deshpande, V.†, and Dey, D.K. (2020+). Fully and empirical Bayes approaches to
    estimating copula-based models for bivariate mixed outcomes using Hamiltonian Monte Carlo. To
    appear: TEST.
  • Xue, Y.†, Yan, J., and Schifano, E.D. (2019+). Simultaneous Monitoring for Regression Coefficients
    and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data. To appear: Biostatistics.
  • Xue, Y.†, Schifano, E.D., and Hu, G. (2019+). Geographically Weighted Cox Regression for Prostate
    Cancer Survival Data in Louisiana. To appear: Geographical Analysis.
  • Xue, Y.†, Wang, H., Yan, J. and Schifano, E.D. (2020). An Online Updating Approach for
    Testing the Proportional Hazards Assumption with Streams of Survival Data. Biometrics, 76(1), 171-182.
  • Wu, J.†, Chen, M-H., Schifano, E.D., Ibrahim, J.G., and Fisher, J.D. (2019). A New Bayesian
    Joint Model for Longitudinal Count Data with Many Zeros, Intermittent Missingness, and Dropout
    with Applications to HIV Prevention Trials. Statistics in Medicine, 38, 5565-5586.
  • Bar, H. and Schifano, E.D. (2019) Differential Variation and Expression Analysis. Stat, 8, e237.
  • Schifano, E.D. (2019). A Review of Analysis Methods for Secondary Outcomes in Case-Control
    Studies. Communications for Statistical Applications and Methods, 26(2), 103-129.
  • Deshpande, V.†, Dey, D.K., and Schifano, E.D. (2018) Variable Selection for Correlated Bivariate
    Mixed Outcomes using Penalized Generalized Estimating Equations. Statistics and Its
    Interface, 12(2), 265-274.
  • Wu, J.†, Ibrahim, J.G., Chen, M-H., Schifano, E.D., and Fisher, J.D. (2018) Bayesian Modeling
    and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV
    Prevention Trials. Statistica Sinica, 28(4) 1929-1963.
  • Wang, C.†, Schifano, E.D., and Yan, J. (2017+) Geographical Ratings with Spatial Random Effects
    in a Two-Part Model. To appear: Variance.
  • Chen, K., Mishra, N., Smyth, J., Bar, H., Schifano, E.D., Kuo, L., and Chen, M-H. (2018) A
    Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent
    Strains of Clostridium Perfringens.  Journal of the American Statistical Association, 113(552), 546-559.
  • Wang, C.†, Chen, M-H., Wu, J.†, Yan, J., Zhang, Y., and Schifano, E.D. (2018) Online Updating
    Method with New Variables for Big Data Streams. Canadian Journal of Statistics, 46(1), 123-146.
  • Wu, J.†, de Castro, M., Schifano, E.D., and Chen, M-H. (2018) Assessing covariate effects using
    Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of
    Statistical Theory and Practice, 12(1), 23-41.
  • Sofer, T.*, Schifano, E.D.*, Christiani, D.C., and Lin, X. (2017) Weighted Pseudolikelihood for
    SNP Set Analysis of Multiple Secondary Phenotypes in Case-Control Genetic Association Studies,
    Biometrics, 73(4), 1210–1220. *Authors contributed equally.
  • Xue, Y.† and Schifano, E.D. (2017). Diagnostics for the Cox Model, Communications for Statistical
    Applications and Methods, 24(6), 583–604.
  • Wang, C.†, Chen, M-H., Schifano, E.D., Wu, J.† , and Yan, J. (2016) Statistical Methods and
    Computing for Big Data. Statistics and Its Interface, 9(4), 399–414.
  • Schifano, E.D., Wu, J.†, Wang, C.†, Yan, J., and Chen, M-H. (2016) Online Updating for Inference
    in the Big Data Setting. Technometrics, 58(3), 393–403.
  • Sofer, T., Schifano, E.D., Hoppin, J.A., Hou, L., and Bacarelli, A. (2013). A-clustering: A Novel
    Method for the Detection of Co-regulated Methylation Regions, and Regions Associated with Exposure.
    Bioinformatics, 29(22), 2884-2891.
  • Schifano, E.D., Li, L., Christiani, D.C., and Lin, X. (2013). Genome-wide Association Analysis for
    Multiple Continuous Secondary Phenotypes. American Journal of Human Genetics, 92(5), 744−759.
  • Strawderman, R.L., Wells, M.T., and Schifano, E.D. (2013). Hierarchical Bayes, Maximum a Posteriori
    Estimators, and Minimax Concave Penalized Likelihood Estimation. Electronic Journal of
    Statistics, 7, 973−990.
  • Schifano, E.D., Epstein, M.P., Bielak, L.F., Jhun, M.A., Kardia, S.L.R., Peyser, P.A., and Lin, X.
    (2012). SNP Set Association Analysis for Familial Data. Genetic Epidemiology, 36, 797−810.
  • Bar, H.Y. and Schifano, E.D. (2011). Empirical and Fully Bayesian Approaches for Random Effects
    Models in Microarray Data Analysis. Statistical Modelling, 11(1), 71−88.
  • Schifano, E.D., Strawderman, R.L., and Wells, M.T. (2010). Majorization-Minimization Algorithms
    for Nonsmoothly Penalized Objective Functions. Electronic Journal of Statistics, 4, 1258−1299.
  • Bar, H.Y., Booth, J.G., Schifano, E.D., and Wells, M.T. (2010). Laplace Approximated EM Microarray
    Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments. Statistical
    Science, 25(3), 388−407.
  • Gaile, D.P., Schifano, E.D., Miecznikowski, J.C., Java, J.J., Conroy, J.M., and Nowak, N.J. (2007).
    Estimating the Arm-Wise False Discovery Rate in Array Comparative Genomic Hybridization Experiments.
    Statistical Applications in Genetics and Molecular Biology, 6(1), Article 32.