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Department of Statistical and Actuarial Sciences
Center of Actuarial Excellence (CAE)
People

Associate Professor

Dr. Wenqing He
Office WSC 213
Phone519-661-2111 ext 86982
Emailwhe23@uwo.ca

Ph.D. University of Waterloo, 2002
Publications
  • He, W. and Jin, Z. (2016). Local linear regression on correlated survival data. Journal of Multivirate Analysis, 147 285-294.
  • He, W., Tang, H., Wang, N., Wang, M. and Zhang, J. (2015). Influence of annealing parameters on the microstructures of onion-like carbon. Jingangshi yu Moliao Moju Gongcheng/Diamond and Abrasives Engineering, 35 (4): 6-10.
  • Fainardi, E., Lee, T. -., Yeung, T. P. C., He, W. and Wang, Y. (2015). Survival prediction in high-grade gliomas using CT perfusion imaging. Journal of Neuro-Oncology, 123 (1): 93-102.
  • Li, C., Song, J., Xu, X., Zhang, M. and He, W. (2015). Interactions between modified PBS and cellulose derivatives in liquid composites with molecular simulation. Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 32 (6): 1649-1657.
  • Bauman, G., Lee, T. -., Yartsev, S., Yeung, T. P. C., He, W. and Macdonald, D. (2014). Relationship of computed tomography perfusion and positron emission tomography to tumour progression in malignant glioma. Journal of Medical Radiation Sciences, 61 (1): 4-13.
  • Xiong, J., Yi , G. Y. and He, W. (2014). Joint modeling of survival data and mismeasured longitudinal data using the proportional odds model . Statistics and its Interface, 7 (2): 241-250.
  • Qin, G., Yuan, A., He, W. and Li, Q. (2014). On coalescence analysis using genealogy rooted trees . Computational and Mathematical Methods in Medicine , 194202 .
  • He, W., Li, Q., Qin, G. and Yuan, A. (2014). Statistical genetics and its applications in medical studies. Computational and Mathematical Methods in Medicine , 712073 .
  • He, W., Li, H. and Zhang, J. (2014). A semiparametric approach for accelerated failure time models with covariates subject to measurement error. Communications in Statistics: Simulation and Computation, 43 (2): 329-341.
  • He, W. (2014). Analysis of multivariate survival data with Clayton regression models under conditional and marginal formulations. Computational Statistics and Data Analysis, 74: 52-63.
  • He, W., Li, L., Linhardt, R. J., Liu, Z. and Zhang, F. (2014). Compositional analysis and structural elucidation of glycosaminoglycans in chicken eggs. Glycoconjugate Journal, 31 (8): 593-602.
  • Fainardi, E., Lee, T. -., Yartsev, S., Yeung, T. P. C. and He, W. (2013). The Effect of Scan Duration on the Measurement of Perfusion Parameters in CT Perfusion Studies of Brain Tumors. Academic Radiology, 20 (1): 59-65.
  • He, W., Bishop, J. E. H., Mitchell, B., Seeley, J., Vingilis, E. and Wilk, P. (2013). Distinctive trajectory groups of mental health functioning among assertive community treatment clients: An application of growth mixture modelling analysis. Canadian Journal of Psychiatry, 58 (12): 670-678.
  • Yi , G. Y. and He, W. (2012). Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models. Biometrical Journal, 54 (3): 343-360.
  • Yuan, A., He, W., Qin, G. and Wang, B. (2012). U-statistic with side information. Journal of Multivirate Analysis, 111: 20-38.
  • Yi , G. Y. and He, W. (2011). A pairwise likelihood method for correlated binary data with/without missing observations under generalized patially linear single-index models. Journal of Applied Statistics, 21: 207-229.
  • Xiong, J., Yuan, A., Chen, G. and Rotimi, C. (2011). Bayesian-frequentist hybrid model with application to the analysis of gene copy number changes. The Annals of the Institute of Mathematical Statistics, 38 (5): 987-1005.
  • He, W., Liang, H. and Yi , G. Y. (2011). Semiparametric marginal and association regression methods for clustered binary data . The Annals of the Institute of Mathematical Statistics, 63 (3): 511-533.
  • Yue, L. H., Murdoch, D., He, W. and Sendov, H. (2010). Cost-efficient variable selection using branching LARS. The Canadian Journal of Statistics, .
  • He, W., Xiong, J. and Yi , G. Y. (2010). SIMEX R package for accelerated failure models with covariate measurement error. Journal of Statistical Software, .
  • Yi , G. Y., He, W. and Liang, H. (2010). Semiparametric marginal and associated regression methods for clustered binary data. The Annals of the Institute of Mathematical Statistics, .
  • Yi , G. Y., He, W. and Liang, H. (2009). Analysis of clustered binary data under partially linear logistic models. Journal of Multivirate Analysis, 100: 278-290.
  • He, W. and Yi , G. Y. (2009). Survival prediction with gene expression profiles. JP Journal of Biostatistics, 3: 17-39.
  • Yi , G. Y. and He, W. (2009). Median regression models for longitudinal data with missing observations. Biometrics, 65: 618-625.
  • Qiu, W., He, W., Wang, X. and Lazarus, R. (2008). A new mixture model for selecting differentially expressed genes across two types of tissue samples. The International Journal of Statistics, 4(1) Article 20.
  • Yuan, A. and He, W. (2008). Semi-parametric clustering methods with application to microarray data analysis. The International Journal of Statistics, 6 161-282.
  • Bull, S. B. . and He, W. (2008). Quality assessment for short oligonucleotide microarray data. Technometrics, 50: 271-273.
  • He, W., Yi , G. Y. and Xiong, J. (2007). Accelerated failure time models with covariates subject to measurement error. Statistics in Medicine, 26 4817-4832.
  • Yi , G. Y. and He, W. (2006). Methods for bivariate survival data with mismeasured covariates under an accelerated failure time model. Communication in Statistics - Theory and Methods, 35 1539-1554.
  • Bull, S. B. ., Gokgoz, N., Andrulis, I. L., Wunder, J. S. and He, W. (2006). Applications of reliability coefficients in cDNA microarray data analysis. Communication in Statistics - Theory and Methods, 25 1051-1066.
  • He, W. and Lawless, J. F. (2005). Bivariate location-scale models for regression analysis, with applications to lifetime data. The Journal of Bioinformatics and Computational Biology, 67 63-78.