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Biostatistics (Oxford, England)|April 10, 2021
Fast hybrid Bayesian integrative learning of multiple gene regulatory networks for type 1 diabetesBochao Jia, Faming Liang, Biostatistics (Oxford, England)|September 20, 2012
Estimation of genetic effects in multiple cases family studies using penalized maximum likelihood methodologyRoula Tsonaka, Marieke C H De Visser, Jeanine Houwing-DuistermaatBiostatistics (Oxford, England)|August 29, 2012
Classification of patients from time-course gene expressionYuping Zhang, Robert Tibshirani, Ronald DavisBiostatistics (Oxford, England)|September 7, 2012
Bayesian partitioning for mapping disease risk using a matched case-control approach to confoundingDeborah A CostainBiostatistics (Oxford, England)|July 17, 2012
Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecificationMireille E Schnitzer, Erica E M Moodie, Robert W PlattBiostatistics (Oxford, England)|September 11, 2012
Signal identification for rare and weak features: higher criticism or false discovery rates?Bernd Klaus, Korbinian StrimmerBiostatistics (Oxford, England)|August 19, 2020
A sparse additive model for treatment effect-modifier selectionHyung Park, Eva Petkova, Thaddeus Tarpey, et al.Biostatistics (Oxford, England)|June 16, 2012
Transcriptional and metabolic data integration and modeling for identification of active pathwaysAlexandra Jauhiainen, Olle Nerman, George Michailidis, et al.Biostatistics (Oxford, England)|March 28, 2015
Regression analysis of longitudinal data with irregular and informative observation timesYong Chen, Jing Ning, Chunyan CaiBiostatistics (Oxford, England)|May 25, 2023
Modeling biomarker variability in joint analysis of longitudinal and time-to-event dataChunyu Wang, Jiaming Shen, Christiana Charalambous, et al.Pageof 141