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Journal of Applied Statistics|April 17, 2024
Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effectsCanhui Li, Weirong Li, Wensheng Zhu
Journal of Applied Statistics|March 18, 2016
Smooth bootstrap-based confidence intervals for one binomial proportion and difference of two proportionsDongliang Wang, Alan D Hutson
Journal of Applied Statistics|December 15, 2015
Patient-specific meta-analysis for risk assessment using multivariate proportional hazards regressionMichael R Crager, Gong Tang
Journal of Applied Statistics|September 21, 2019
Bayesian compartmental model for an infectious disease with dynamic states of infectionMarie V Ozanne, Grant D Brown, Jacob J Oleson, et al.
Journal of Applied Statistics|September 19, 2019
Statistical considerations for crowdsourced perceptual ratings of human speech productionsDaniel Fernández, Daphna Harel, Panos Ipeirotis, et al.
Journal of Applied Statistics|August 27, 2020
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score MethodsCheng Ju, Mary Combs, Samuel D Lendle, et al.
Journal of Applied Statistics|April 30, 2025
Robust estimation of the incubation period and the time of exposure using γ-divergenceDaisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, et al.
Journal of Applied Statistics|April 30, 2025
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI dataZhengxin Wang, Daniel B Rowe, Xinyi Li, et al.
Journal of Applied Statistics|April 30, 2025
Evaluating the median p-value method for assessing the statistical significance of tests when using multiple imputationPeter C Austin, Iris Eekhout, Stef van Buuren
Journal of Applied Statistics|April 30, 2025
A non-linear integer-valued autoregressive model with zero-inflated data seriesPredrag M Popović, Hassan S Bakouch, Miroslav M Ristić
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