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Journal of Applied Statistics|May 24, 2021
Predicting an optimal composite outcome variable for Huntington's disease clinical trialsDaniel K Sewell, Journey Penney, Melissa Jay, et al.Journal of Applied Statistics|February 23, 2023
Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studiesWei Zhang, Colin O Wu, Xiaoyang Ma, et al.Journal of Applied Statistics|February 23, 2023
Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference scale-invariant testLiang Zhang, Tianming Zhu, Jin-Ting ZhangJournal of Applied Statistics|February 23, 2023
A practical two-sample test for weighted random graphsMingao Yuan, Qian WenJournal of Applied Statistics|February 23, 2023
Model estimation and selection for partial linear varying coefficient EV models with longitudinal dataMingtao Zhao, Xiaoli Xu, Yanling Zhu, et al.Journal of Applied Statistics|October 8, 2016
Multiple Imputation of a Randomly Censored Covariate Improves Logistic Regression AnalysisFolefac D Atem, Jing Qian, Jacqueline E Maye, et al.Journal of Applied Statistics|August 29, 2022
Validation of risk-based quality control techniques: a case study from the automotive industryA I KatonaJournal of Applied Statistics|August 29, 2022
Bayesian semiparametric analysis on the relationship between BMI and income for rural and urban workers in ChinaLijuan Feng, Murat MunkinJournal of Applied Statistics|August 29, 2022
Semiparametric inference for the scale-mixture of normal partial linear regression model with censored dataMehrdad Naderi, Elham Mirfarah, Matthew Bernhardt, et al.Journal of Applied Statistics|August 29, 2022
Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival dataYangxin Huang, Nian-Sheng Tang, Jiaqing ChenPageof 123