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Biostatistics (Oxford, England)|August 8, 2018
Hybrid principal components analysis for region-referenced longitudinal functional EEG dataAaron Scheffler, Donatello Telesca, Qian Li, et al.
Biostatistics (Oxford, England)|September 22, 2016
Statistical methods for down-selection of treatment regimens based on multiple endpoints, with application to HIV vaccine trialsYing Huang, Peter B Gilbert, Rong Fu, et al.
Biostatistics (Oxford, England)|March 6, 2010
Dynamic calibration of pharmacokinetic parameters in dose-finding studiesJohn O'Quigley, Michael D Hughes, Terry Fenton, et al.
Biostatistics (Oxford, England)|September 23, 2016
A sparsity-controlled vector autoregressive modelEmilio Carrizosa, Alba V Olivares-Nadal, Pepa Ramírez-Cobo
Biostatistics (Oxford, England)|December 2, 2009
Flexible Bayesian quantile regression for independent and clustered dataBrian J Reich, Howard D Bondell, Huixia J Wang
Biostatistics (Oxford, England)|December 1, 2009
Bayesian ranking and selection methods using hierarchical mixture models in microarray studiesHisashi Noma, Shigeyuki Matsui, Takashi Omori, et al.
Biostatistics (Oxford, England)|June 20, 2018
A Bayesian space-time model for clustering areal units based on their disease trendsGary Napier, Duncan Lee, Chris Robertson, et al.
Biostatistics (Oxford, England)|June 26, 2018
Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingnessJiebiao Wang, Pei Wang, Donald Hedeker, et al.
Biostatistics (Oxford, England)|February 20, 2015
Variable selection in the presence of missing data: resampling and imputationQi Long, Brent A Johnson
Biostatistics (Oxford, England)|October 18, 2012
Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysisJun Chen, Frederic D Bushman, James D Lewis, et al.
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