List of publications: ( [Google Scholar], Codes in [Github] )
Selected previous publications:
Zhang, Z., Lin, Y. and Liu, J. (2023). Probability of Study Success (PrSS) Evaluation Based on Multiple Endpoints in Late Phase Oncology Drug Development. Statistics in Biopharmaceutical Research. 1-34. [Paper] [Supplementary]
Zhang, Z., Bhattacharjee, A., Marques, J. and Maiti, T. (2021). Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves. Journal of Official Statistics. 37(3), 611–653. [Paper] [Code]
Zhang, Z., Sinha, S., Maiti, T. and Shipp, E. (2018). Bayesian variable selection in the AFT model with an application to the SEER breast cancer data. Statistical Methods in Medical Research. 27(4), 971-990. [Preprint] [Code] [Example]
Zhang, Z., with Dass, S. C., Lim, C. and Maiti, T. (2015). Clustering Curves based on Change point analysis: A Nonparametric Bayesian Approach. Statistica Sinica. 25, 677-708. [Paper] [Errata]
Castro, E. A., Zhang, Z., Bhattacharjee, A., Martins, J. M. and Maiti, T. (2015). Regional Fertility Data Analysis: A Small Area Bayesian Approach. In: Dey, D. K., Loganathan, A., Singh, U. and Upadhyay, S. K. (Eds.), Current Trends in Bayesian Methodology with Applications. Chapter 10, Chapman & Hall/CRC Press, 205-226. [Preprint]
Zhang, Z., Lim, C. and Maiti, T. (2014). Analyzing 2000-2010 Childhood Age-adjusted Cancer Rates in Florida: A Spatial Clustering Approach. Statistics and Public Policy. 1(1), 120-128. [Paper] [Disussion] [ScienceDaily] [Research@MSU]
Huebner, M., Zhang, Z., McGrath, P., Therneau, T. and Pianosi, P. (2014). Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents. BMC Medical Research Methodology. 14(1), 4. [Paper]