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Biostatistics (Oxford, England)|May 16, 2019
Estimating menarcheal age distribution from partially recalled dataSedigheh Mirzaei Salehabadi, Debasis Sengupta, Rahul GhosalBiostatistics (Oxford, England)|January 30, 2022
Separating and reintegrating latent variables to improve classification of genomic dataNora Yujia Payne, Johann A Gagnon-BartschBiostatistics (Oxford, England)|September 26, 2018
A Bayesian mixture modeling approach for public health surveillanceAreti Boulieri, James E Bennett, Marta BlangiardoBiostatistics (Oxford, England)|August 31, 2018
A benchmark for dose finding studies with continuous outcomesPavel Mozgunov, Thomas Jaki, Xavier PaolettiBiostatistics (Oxford, England)|May 7, 2019
G-estimation of structural nested mean models for competing risks data using pseudo-observationsShiro Tanaka, M Alan Brookhart, Jason P FineBiostatistics (Oxford, England)|October 10, 2019
Adaptive penalization in high-dimensional regression and classification with external covariates using variational BayesBritta Velten, Wolfgang HuberBiostatistics (Oxford, England)|June 20, 2019
ACE of space: estimating genetic components of high-dimensional imaging dataBenjamin B Risk, Hongtu ZhuBiostatistics (Oxford, England)|June 25, 2019
Modeling local dependence in latent vector autoregressive modelsTrung Dung Tran, Emmanuel Lesaffre, Geert Verbeke, et al.Biostatistics (Oxford, England)|July 12, 2019
Gaussian process regression for survival time prediction with genome-wide gene expressionAaron J Molstad, Li Hsu, Wei SunBiostatistics (Oxford, England)|April 14, 2023
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging-environment interactionsYunju Im, Yuan Huang, Aixin Tan, et al.Pageof 141