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Journal of Applied Statistics|February 23, 2023
Handling high-dimensional data with missing values by modern machine learning techniquesSixia Chen, Chao XuJournal of Applied Statistics|February 23, 2023
Regularized regression when covariates are linked on a network: the 3CoSE algorithmMatthias Weber, Jonas Striaukas, Martin Schumacher, et al.Journal of Applied Statistics|February 23, 2023
Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputationYujia Cheng, Yang Li, Matthew Lee Smith, et al.Journal of Applied Statistics|February 23, 2023
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learnerMi Zhou, Weixin YaoJournal of Applied Statistics|February 23, 2023
Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modellingAnton Thielmann, Christoph Weisser, Astrid Krenz, et al.Journal of Applied Statistics|December 5, 2025
Generalised random tessellation stratified sampling over auxiliary spacesB L Robertson, C J Price, M Reale, et al.Journal of Applied Statistics|December 4, 2025
Multivariate meta-analysis with a robustified diagonal likelihood functionZongliang Hu, Qianyu Zhou, Guanfu LiuJournal of Applied Statistics|January 25, 2014
A Method for Choosing the Smoothing Parameter in a Semi-parametric Model for Detecting Change-points in Blood FlowSung Wan Han, Rickson C Mesquita, Theresa M Busch, et al.Journal of Applied Statistics|March 3, 2015
Slope Estimation of Covariates that Influence Renal Outcome following Renal Transplant Adjusting for Informative Right CensoringMiran A Jaffa, Ayad A Jaffa, Stuart R LipsitzJournal of Applied Statistics|May 17, 2023
Variable targeting and reduction in large vector autoregressions with applications to workforce indicatorsT S McElroy, Thomas TrimburPageof 123