Publications

Journal Publications & Book Chapters Link to heading

  • Zhang, Jianqi, Yufei Guo, Junyi Zhou, and Hans Erik Rasmussen. ‘PubPredict: Prediction of Progression and Survival in Oncology Leveraging Publications and Early Efficacy Data’. Pharmaceutical Statistics, 13 July 2023, DOI: 10.1002/pst.2321

  • Zhou, Junyi, Ying Zhang, and Wanzhu Tu. ‘A Reference-Free R-Learner for Treatment Recommendation’. Statistical Methods in Medical Research, 32, no. 2 (February 2023): 404–24, DOI: 10.1177/09622802221144326.

  • Zhou, Junyi, Ying Zhang, and Wanzhu Tu. ‘ClusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data’. Journal of Computational and Graphical Statistics, 22 November 2022, 1–36. DOI: 10.1080/10618600.2022.2149540.

  • Zhou, Junyi, Yuan Wu, and Ying Zhang. ‘The BivarIntCensored: An R Package for Nonparametric Inference of Bivariate Interval-Censored Data’. In Emerging Topics in Modeling Interval-Censored Survival Data, 235–52. Cham: Springer International Publishing, 2022. DOI: 10.1007/978-3-031-12366-5_12.

  • Zhou, Junyi, Xiaoyu Lu, Wennan Chang, Changlin Wan, Xiongbin Lu, Chi Zhang, and Sha Cao. ‘PLUS: Predicting Cancer Metastasis Potential Based on Positive and Unlabeled Learning’. PLoS Computational Biology 18, no. 3 (March 2022): e1009956. DOI: 10.1371/journal.pcbi.1009956.

  • Zhang, Ying, Junyi Zhou, Carissa R. Gehl, Jeffrey D. Long, Hans Johnson, Vincent A. Magnotta, Daniel Sewell, Kathleen Shannon, and Jane S. Paulsen. ‘Mild Cognitive Impairment as an Early Landmark in Huntington’s Disease’. Frontiers in Neurology 12 (7 July 2021): 678652. DOI: 10.3389/fneur.2021.678652.

  • Wu, Yuan, Ying Zhang, and Junyi Zhou. ‘A Spline-Based Nonparametric Analysis for Interval-Censored Bivariate Survival Data’. Statistica Sinica 32, no. 3 (July 2022): 1541–62. DOI: 10.5705/ss.202019.0296.

  • Schoelwer, Melissa J., Wanzhu Tu, Junyi Zhou, and Erica A. Eugster. ‘Targeted Levothyroxine Therapy for Treatment of Congenital Hypothyroidism’. Endocrine Practice 23, no. 9 (September 2017): 1067–71. DOI: 10.4158/ep171881.or.

Working Papers Link to heading

  • Junyi Zhou, “de-Centralized-learner: A metalearner for treatment effect estimation and optimal treatment recommendation in a multiple-treatment setting,” working

  • Junyi Zhou, Joo, Lijin, Zhao Hongyu, and Yi Liu, “An Optimal Design Strategy for Phase III Clinical Trials with Time-To-Event Endpoint,” working

  • Junyi Zhou, Ying Zhang, “ClusterLong: An R Package to Cluster Multivariate Longitudinal Data” working

  • Junyi Zhou, Xiaoyu Lu, and Sha Cao, “PUwrapper: a Powerful Tool for Positive-Unlabeled Learning,” working