My main research areas in statistical methodology include:

  • Longitudinal data analysis
  • Functional data analysis
  • Semiparametric regression modeling
  • Varying coefficient models
  • Measurement error models
  • Covariate adjustments

Modeling Time Varying Effects with Applications to Longitudinal Data

Selected publications:
  • Hasenstab, K., Sugar, C., Telesca, D., McEvoy, K., Jeste, S. and Senturk, D. (2014) Identifying longitudinal trends within EEG experiments. Biometrics, under revision.
  • Estes, J., Nguyen, D. V., Dalrymple, L. S., Mu, Y. and Senturk, D. (2014) Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach. Biometrics, in press.
  • Senturk, D., Ghosh, S. and Nguyen, D. V. (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.
  • Kurum, E., Li, R., Wang, Y. and Senturk, D. (2013) Nonlinear varying coefficient models and its applications. Journal of Agricultural, Biological and Environmental Statistics,19(1): 57-81.
  • Senturk, D., Dalrymple, L. S., Mohammed, S. M., Kaysen, G. A. and Nguyen, D. V. (2013) Modeling time varying effects with generalized and unsynchronized longitudinal data. Statistics in Medicine, 32: 2971-2987.
  • Senturk, D. and Nguyen, D. V. (2011) Varying coefficient models for sparse noise-contaminated longitudinal data. Statistica Sinica, 21: 1831-1856.
  • Senturk, D. and Mueller, H. G. (2010) Functional varying coefficient models for longitudinal data. Journal of the American Statistical Association, 105: 1256-1264.
  • Senturk, D. and Mueller, H. G. (2008) Generalized varying coefficient models for longitudinal data. Biometrika, 95: 653-666.

Functional Data Analysis

Selected publications:
  • Senturk, D., Dalrymple, L. S. and Nguyen, D. V. (2014) Functional linear models for zero-inflated count data with application to modeling hospitalizations in patients on dialysis. Statistics in Medicine, in press.
  • Senturk, D., Dalrymple, L. S., Mohammed, S. M., Kaysen, G. A. and Nguyen, D. V. (2013) Modeling time varying effects with generalized and unsynchronized longitudinal data. Statistics in Medicine, 32: 2971-2987.
  • Senturk, D. and Nguyen, D. V. (2011) Varying coefficient models for sparse noise-contaminated longitudinal data. Statistica Sinica, 21: 1831-1856.
  • Kim, K., Senturk, D. and Li R. (2011) Recent history functional linear models for sparse longitudinal data. Journal of Statistical Planning and Inference, 141: 1554-1566.
  • Senturk, D. and Mueller, H. G. (2010) Functional varying coefficient models for longitudinal data. Journal of the American Statistical Association, 105: 1256-1264.

Measurement Error Modeling

Selected publications:
  • Mohammed S. M., Dalrymple, L. S., Senturk, D. and Nguyen, D. V. (2013) Naive 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.
  • Mohammed, S. M., Dalrymple, L. S., Senturk, D. and Nguyen, D. V. (2013) Design considerations for case series models with exposure onset measurement error. Statistics in Medicine, 32: 772-786.
  • Mohammed, S. M., Senturk, D., Dalrymple, L. S. and Nguyen, D. V. (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.

Covariate Adjustments

Selected publications:
  • 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.
  • Senturk, D. and Mueller, H. G. (2009) Covariate-adjusted generalized linear models. Biometrika, 96: 357-370.
  • Nguyen, D. V. and Senturk, D. (2008) Multicovariate adjusted regression models. Journal of Statistical Computation and Simulation, 78: 813-827.
  • Nguyen, D. V., Senturk, D., and Carroll, R. J. (2008) Covariate adjusted linear mixed effects model with an application to longitudinal data. Journal of Nonparametric Statistics, 20: 459-481.
  • Senturk, D. and Mueller, H. G. (2006) Inference for covariate adjusted regression via varying coefficient models. Annals of Statistics, 34: 654-679.
  • Senturk, D. (2006) Covariate adjusted varying coefficient models. Biostatistics, 7: 235-251.
  • Senturk, D. and Nguyen, D.V. (2006) Estimation in covariate-adjusted regression. Computational Statistics and Data Analysis, 50: 3294-3310.
  • Senturk, D. and Mueller, H. G. (2005) Covariate adjusted regression. Biometrika, 92: 75-89.
  • Senturk, D. and Mueller, H. G. (2005) Covariate adjusted correlation analysis via varying coefficient models. Scandinavian Journal of Statistics, 32: 365-383.