University of Alberta Department of Mathematical and Statistical Sciences
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Peer-reviewed - indicates trainees supervised.
[1]. Pietrosanu, M.-, Gao, J., Jiang, B., Niu, D., and Kong, L. (2017). cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection. submitted.
[2]. Kong, L., Zhou, X., Yu, S., Jiang, B. and Heo, G. (2017). Wavelet-based Lasso in Functional Linear Quantile Regression. submitted.
[3]. Zhang, L., Yu, D., Jiang, B., Mizera, I. and Kong, L. (2017). Sparse Wavelet Estimation in Quantile Regression with Multiple Functional Predictors. submitted.
[4]. Petkova, E., Tarpey, T., Ogden R. T., Ciarleglio, A., Jiang, B., et. al. (2017). Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study. Contemporary Clinical Trials Communications, Vol. 6, 22-30.
[5]. Jiang, B., Petkova, E., Tarpey, T. and Ogden R. T. (2017). Latent class modeling using matrix covariates with application to identifying early placebo responders based on EEG signals. The Annals of Applied Statistics, Vol. 11, No. 3, 1513-1536.
[6]. Jiang, B., Elliott, M. R., Sammel, M. D. and Wang, N. (2016). Bayesian Model Assessments in Evaluating Mixtures of Longitudinal Trajectories and Their Associations with Cross-Sectional Health Outcomes. Statistics and Its Interface, Vol. 9, 183-201.
[7]. Jiang, B., Sammel, M. D., Freeman, E. W. and Wang, N. (2015). Bayesian estimation of associations between identified longitudinal hormone subgroups and age at final menstrual period. BMC Medical Research Methodology, Vol. 15, 106.
[8]. Jiang, B., Elliott, M. R., Sammel, M. D. and Wang, N. (2015). Joint Modeling of Cross- Sectional Health Outcomes and Longitudinal Predictors via Mixtures of Means and Variances. Biometrics, Vol. 71(2), 487-497.
[9]. Jiang, B., Wang, N., Sammel, M. D. and Elliott, M. R. (2015). Modeling Short- and Long- Term Characteristics of Follicle Stimulating Hormone as Predictors of Severe Hot Flashes in Penn Ovarian Aging Study. Journal of the Royal Statistical Society: Series C. Vol. 64(5), 731-753.
[10]. Jiang, B. and Carriere, K. C. (2014). Smoothing Age-Period-Cohort Models: A Generalized Additive Model Approach. Statistics in Medicine, Vol. 33(4), 595-606.
[11]. Sadowski, D. C., Ackah, F., Jiang, B. and Svenson, L. W. (2010). Achalasia: Incidence, Prevalence and Survival. A Population Based Study. Nerogastroenterology and Motility, Vol. 22, 256-261.
[12]. Cree, M., Lalji, M., Jiang, B. and Carriere, K. C. (2009). Under-reporting of Compensable Mesothelioma in Alberta. American Journal of Industrial Medicine, Vol. 52, 526-533.
[13]. Cree, M., Lalji, M., Jiang, B., Carriere, K. C., Beach, J. and Kamruzzaman, A. (2009).Explaining Albertas Rising Mesothelioma Rates. Chronic Diseases in Canada, Vol. 29(4): 144-152.
PhD Thesis
[14]. Jiang, B. (2014). Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments. Ph.D. thesis, Advisor: Michael R. Elliott and Naisyin Wang, University of Michigan.
MSc Thesis
[15]. Jiang, B. (2008). Estimation for Age-Period-Cohort Models: with Application to the Pleural Mesothelioma Data in Alberta 1980 to 2004. MSc thesis, Advisor: K. C. Carriere, University of Alberta.