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Biostatistics (Oxford, England)|May 26, 2017
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics dataQianxing Mo, Ronglai Shen, Cui Guo, et al.Biostatistics (Oxford, England)|July 10, 2018
Joint modeling of recurrent events and survival: a Bayesian non-parametric approachGiorgio Paulon, Maria De Iorio, Alessandra Guglielmi, et al.Biostatistics (Oxford, England)|October 20, 2009
Varying-coefficient models for longitudinal processes with continuous-time informative dropoutLi Su, Joseph W HoganBiostatistics (Oxford, England)|November 15, 2005
Microarray gene expression data with linked survival phenotypes: diffuse large-B-cell lymphoma revisitedMark R SegalBiostatistics (Oxford, England)|August 21, 2018
Causal inference in continuous time: an example on prostate cancer therapyPål Christie Ryalen, Mats Julius Stensrud, Sophie Fosså, et al.Biostatistics (Oxford, England)|September 12, 2018
Sequential Monte Carlo for response adaptive randomized trialsShirin Golchi, Kristian ThorlundBiostatistics (Oxford, England)|September 12, 2018
The impact of different sources of heterogeneity on loss of accuracy from genomic prediction modelsYuqing Zhang, Christoph Bernau, Giovanni Parmigiani, et al.Biostatistics (Oxford, England)|September 12, 2018
ℓ 1-Penalized censored Gaussian graphical modelLuigi Augugliaro, Antonino Abbruzzo, Veronica VinciottiBiostatistics (Oxford, England)|August 31, 2018
On the estimation of the incidence and prevalence in two-phase longitudinal sampling designPrithish Banerjee, Samiran GhoshBiostatistics (Oxford, England)|August 8, 2018
Constructing disease onset signatures using multi-dimensional network-structured biomarkersXiang Li, Donglin Zeng, Karen Marder, et al.Pageof 141