Biostatistics

Google Scholar Citations

Publications: Biostatistics/Methodology

  1. Nguyen, D.V., Arpat, A.B., Wang, N. and Carroll, R.J. (2002) DNA microarray experiments: biological and technological aspects. Biometrics, 58, 701-717.
  2. Nguyen, D.V. and Rocke, D.M. (2002) Classification of acute leukemia based on DNA microarray gene expressions using partial least squares. In Methods of Microarray Data Analysis, Lin, S.M, and Johnson, K.F. (eds), Kluwer, Dordrecht, p.109-124.
  3. Nguyen, D.V. and Rocke, D.M. (2002) Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18, 39-50.
  4. Nguyen, D.V. and Rocke, D.M. (2002) Multi-class cancer classification via partial least squares using gene expression profiles. Bioinformatics, 18, 1216-1226.
  5. Nguyen, D.V. and Rocke, D.M. (2002) Partial least squares proportional hazard regression for application to DNA microarray survival data. Bioinformatics, 18, 1625-1632.
  6. Nguyen, D.V., Wang, N. and Carroll, R.J. (2004) Evaluation of missing value estimation for microarray data. Journal of Data Science, 2, 347-370.
  7. Nguyen, D.V. (2004) On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies. Computational Statistics and Data Analysis, 47, 611-637.
  8. Balagurunathan, Y., Wang, N., Dougherty E.R., Nguyen, D.V., Chen, Y., Bittner, M.L., Trent, J.M. and Carroll, R.J. (2004) Noise factor analysis for cDNA microarrays. Journal of Biomedical Optics, 9, 663-678.
  9. Braga-Neto, U., Hashimoto, R., Dougherty, E.R., Nguyen, D.V. and Carroll, R.J. (2004) Is cross-validation better than resubstitution for ranking genes? Bioinformatics, 20, 253-258.
  10. Nguyen, D.V., and Rocke, D.M. (2004) On partial least squares dimension reduction for microarray-based classification: a simulation study. Computational Statistics and Data Analysis, 46, 407-425.
  11. Malgorzata, G., Nguyen, D.V., Attor, S.N., Dougherty, E.R., Turner, N.D., Bancroft, L.K., Chapkin, R.S., Lupton, J.R. and Carroll, R.J. (2005) Comparing automatic and manual image processing in FLARE assay analysis for colon carcinogenesis. Statistical Applications in Genetics and Molecular Biology, 4, article 5 (p.1-19).
  12. Nguyen, D.V. (2005) A unified computational framework to compare direct and sequential false discovery rate algorithms for exploratory DNA microarray studies. Journal of Data Science, 3, 331-352.
  13. Nguyen, D.V. (2005) Partial least squares dimension reduction for microarray gene expression data with a censored response. Mathematical Biosciences, 193, 119-137.
  14. Senturk, D. and Nguyen, D.V. (2006) Estimation in covariate-adjusted regression. Computational Statistics and Data Analysis, 50, 3294-3310.
  15. Nguyen, D.V. and Senturk, D. (2007) Distortion diagnostics for covariate-adjusted regression: graphical techniques based on local linear modeling. Journal of Data Science, 5, 471-490.
  16. Nguyen, D.V., Liu, H. and Senturk, D. (2007) A general FDR-based computational framework for sample size planning in microarray studies. In Advanced Computational Methods for Biocomputing and Bioimaging, Pham, T., Yan, H., and Crane, D. (eds), Nova Science Publishers, New York, p. 55-69.
  17. Nguyen, D.V., Senturk, D. and Carroll, R.J. (2008) Covariate-adjusted linear mixed effects models with an application to longitudinal data. Journal of Nonparametric Statistics, 20, 459-481.
  18. Nguyen, D.V. and Senturk, D. (2008) Multicovariate-adjusted regression models. Journal of Statistical Computation and Simulation, 78, 813-827.
  19. Nguyen, D.V. and Senturk, D. (2009) Covariate-adjusted regression for longitudinal data incorporating correlation between repeated measurements. Australian and New Zealand Journal of Statistics, 51, 319-333.
  20. Nguyen, D.V. and Senturk, D. (2009) A consistent local linear estimator of covariate adjusted correlation. Statistics and Probability Letters, 79, 1684-1689.
  21. Senturk, D., Nguyen, D.V., Tassone, F., Hagerman, R.J., Carroll, R.J. Hagerman, P.J (2009) Covariate adjusted correlation analysis with application to FMR1 premutation female carrier data. Biometrics, 65, 781-792.
  22. Senturk, D. and Nguyen, D.V. (2009) Partial covariate adjusted regression. Journal of Statistical Planning and Inference, 139, 454-468.
  23. Senturk, D. and Nguyen, D.V. (2009) Asymptotic properties of covariate-adjusted regression with correlated errors. Statistics and Probability Letters, 79, 1175-1180.
  24. Nguyen, D.V., Senturk, D., Harvey, D.J. and Li, C.-S. (2009) Sample size and power in genomics studies. In Computational Biology: New Research, Russe, A. S. (ed), Nova Science Publishers, New York, p. 59-87.
  25. Chen, Y. and Nguyen, D.V. (2009) Identification of relevant genes using partial least squares weights based on microarray genomics expression data. In Computational Biology: Issues and Applications in Oncology, Pham, T. (ed), Springer, New York, p. 1-17.
  26. Senturk D and Nguyen DV (2011) Varying coefficient models for sparse noise-contaminated longitudinal data. Statistica Sinica, 21, 1831-1856.
  27. Mohammed SM, Senturk D, Dalrymple DS, Nguyen DV (2012) Measurement error case series models with application to infection-cardiovascular risk in older patients on dialysis. Journal of the American Statistical Association, 107, 1310-1323.
  28. Mohammed SM, Dalrymple DS, Senturk D, Nguyen DV (2013) Design considerations for case series models with exposure onset measurement error. Statistics in Medicine, 28, 772-786.
  29. Senturk D, Dalrymple DS, Mohammed SM, Kaysen GA, Nguyen DV (2013) Modeling time varying effects with generalized and unsynchronized longitudinal data. Statistics in Medicine, 32, 2971-2987.
  30. Mohammed SM, Dalrymple DS, Senturk D, Nguyen DV (2013) Naïve hypothesis testing for case series models with time-varying exposure onset measurement error: Inference for infection-cardiovascular risk in patients on dialysis. Biometrics, 69, 520-529.
  31. Senturk D, Ghosh S, Nguyen DV (2014) Exploratory time varying lagged regression: Modeling association of cognitive and functional trajectories with expected clinic visits in older adults. Computational Statistics and Data Analysis, 73, 1-15.
  32. Senturk D, Dalrymple DS, Mu Y, Nguyen DV (2014) Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the U.S. dialysis population. Statistics in Medicine, 33(25):4387-4401.
  33. Senturk D, Dalrymple LS, Nguyen DV (2014) Functional linear models for zero-inflated count data with application to modeling hospitalizations in patients on dialysis. Statistics in Medicine, 33(27):4825-4840.
  34. Estes JP, Nguyen DV, Dalrymple DS, Mu Y, Senturk D (2014) Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach. Biometrics, 70, 754–764.
  35. Estes JP, Nguyen DV, Dalrymple LS, Mu Y, Senturk D (2016) Time-varying effect modeling with longitudinal data truncated by death: Conditional models, interpretations and inference. Statistics in Medicine, May 20;35(11):1834-47.
  36. Campos LF, Senturk D, Chen Y, Nguyen DV (2017) Bias and estimation under misspecification of the risk period in self-controlled case series studies. Stat, 6(1), 373-389 DOI: 10.1002/sta4.166.
  37. Li Y, Nguyen DV, Chen Y, Rhee CM, Kalantar-Zedeh, Senturk D (2018) Modeling time-varying effects of multilevel risk factors of hospitalizations in patients on dialysis. Statistics in Medicine, 30;37(30):4707-4720.
  38. Estes JP, Nguyen DV, Chen Y, Dalrymple LS, Rhee CM, Kalantar-Zedeh K, Senturk D (2018) Time-dynamic profiling with application to hospital readmission among patients on dialysis (with discussion). Biometrics, Dec;74(4):1383-1394.
  39. Estes JP, Nguyen DV, Chen Y, Dalrymple LS, Rhee CM, Kalantar-Zedeh K, Senturk D (2018) Rejoinder: Time-dynamic profiling with application to hospital readmission among patients on dialysis. Biometrics, Dec;74(4):1404-1406.
  40. Li Y, Nguyen DV, Kurum E, Rhee CM, Chen Y, Kalantar-Zadeh K, Senturk D (2020) A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis. Biometrics, 76(3), 924-938.
  41. Estes JP, Chen Y, Senturk D, Rhee CM, Kurum E, You AS, Streja E, Kalantar-Zadeh K, Nguyen DV (2020) Profiling dialysis facilities for adverse recurrent events. Statistics in Medicine, 39:9, 1374-1389.
  42. Senturk D, Chen Y, Estes JP, Campos LF, Rhee CM, Kalantar-Zadeh K, Nguyen DV (2020) Impact of case-mix measurement error on estimation and inference in profiling of health care providers. Communications in Statistics – Simulation and Computation, 49:8, 2206-2224.
  43. Chen Y, Senturk D, Estes JP, Campos LF, Rhee CM, Dalrymple LS, Kalantar-Zadeh K, Nguyen DV (2021) Performance characteristics of profiling methods and the impact of inadequate case-mix adjustment. Communications in Statistics – Simulation and Computation, 50, 1854-1871.
  44. Kurum E, Nguyen DV, Li Y, Rhee CM, Kalantar-Zadeh K, Senturk D (2021) Multilevel joint models of hospitalization and survival in patients on dialysis, Stat, 10:e356 (p1-13).
  45. Li Y, Nguyen DV, Banerjee S, Rhee CM, Kalantar-Zadeh K, Kurum E, Senturk D (2021) Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population. Statistics in Medicine, 40(17):3937-3952.
  46. Estes JP, Senturk D, Kurum E, Rhee CM, Nguyen DV (2021) Fixed effects high-dimensional profiling models in low information context. International Journal of Statistics in Medical Research, 10, 118-131.
  47. Li Y, Nguyen DV, Kurum E, Rhee CM, Banerjee S, Senturk D (2022) Multilevel varying coefficient spatiotemporal model, Stat, 11(1):e438.
  48. Kurum E, Nguyen DV, Banerjee S, Li Y, Rhee CM, Senturk D (2022) A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival in patients on dialysis. Statistics in Medicine, 41(29): 5597-5611.
  49. Nguyen DV, Kurum E, Senturk D (2022) The use of putative dialysis initiation time in comparative outcomes of patients with advanced chronic kidney disease: Methodological aspects. International Journal of Statistics in Medical Research, 11: 128-135.
  50. Nguyen DV, Qian Q, You AS, Kurum E, Rhee CM, Senturk D (2023) High-dimensional fixed effects profiling models and applications in end-stage kidney disease patients: Current state and future directions. International Journal of Statistics in Medical Research, 12, 193-212.
  51. Qian Q, Nguyen DV, Telesca D, Kurum E, Rhee CM, Banerjee S, Li Y, Senturk D (2024) Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in dialysis patients. Biostatistics, in-press.
  52. Qian Q, Nguyen DV, Kurum E, Rhee CM, Banerjee S, Li Y, Senturk D (2024) Multivariate varying coefficient spatiotemporal model. Statistics in Biosciences, in-press.
  53. Kurum E, Kwan B, Qian Q, Banerjee S, Rhee CM, Nguyen DV, Senturk D (20234. A Bayesian joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in patients with chronic kidney disease. Statistics in Biosciences, in-press.