Statistical/Machine Learning, Causal Inference, Healthcare Analytics
Google Scholar Page
PUBLICATIONS (Peer Reviewed)
Hilafu, H., Letizia, P. and Roma, P. (2024) Product Customization and Returns: The Moderating Role of National Culture. Production and Operations Management. Accepted.
Jia, H., Hilafu, H. and Bichescu, B. (2024) Hospital-physician Integration and Cardiac Surgery Outcomes: A U-shaped Relationship? Production and Operations Management. Forthcoming.
Bichescu, B. and Hilafu, H. (2023) Effects of Hospital-Acquired Conditions on Readmission Risk: The Mediating Role of Length of Stay. Manufacturing and Service Operations Management. 25(4):1603-1621.
Rabby, YW., Li, Y. and Hilafu, H. (2023) An objective absence data sampling method for landslide susceptibility mapping. Scientific Reports. 13, 1740.
Hilafu, H. and Safo, S. (2022) Sparse Sliced Inverse Regression for High Dimensional Data Analysis. BMC Bioinformatics. 23(1): 1-19.
Lee, C.E. and Hilafu, H. (2022) Quantile Martingale Difference Divergence for Dimension Reduction. Statistica Sinica. 32: 1-23.
Nayak, S., Bhandari, H., Sams, C., Sykes, V., Hilafu, H., Dalid, D., Senseman, S. and Pantalone, V. (2020) Genetic Variation for Biomass Yield and Predicted Genetic Gain in Lowland Switchgrass “Kanlow”. Agronomy. 10: 1845.
Hilafu, H., Safo, S., and Haine, L. (2020) Sparse reduced-rank regression for integrating omics data. BMC Bioinformatics. 21(1): 1-17. Matlab Codes
Hibbing, P.R., LaMunion, S.R., Hilafu, H., and Crouter, S.E. (2020) Evaluating the Performance of Bout Detection Algorithms for Wearable Sensors: The Transition Pairing Method. Journal for the Measurement of Physical Behaviour. Sep;3(3):219-227.
Wu, W. , Hilafu, H. and Xue, Y. (2019) Simultaneous estimation for semi-parametric multi-index models. Journal of Statistical Computation and Simulation. 89: 2354-2372.
Hilafu, H. Wu, W. (2017) Partial Projective Resampling Method for Dimension Reduction: With Applications in Partially Linear Models. Computational Statistics and Data Analysis. 109: 1-14.
Hilafu, H. and Yin, X. (2017) Sufficient Dimension Reduction and Variable Selection for Correlated High Dimensional Data. Journal of Computational and Graphical Statistics. 26(1): 26-34.
Hilafu, H. (2017) Random Sliced Inverse Regression. Communication in Statistics - Simulation and Computation. 46(5): 3516-3526.
Yin, X. and Hilafu, H. (2015) Sequential Sufficient Dimension Reduction for Large p Small n Problems. Journal of Royal Statistical Society Series B. 77: 879-892.
Hilafu, H. and Yin, X. (2013) Sufficient Dimension Reduction for Multivariate Regression with Categorical Predictors. Computational Statistics and Data Analysis. 63: 139-147.