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Biostatistics (Oxford, England)|August 24, 2026
A novel decomposition to explain heterogeneity in observational and randomized studies of causalityBrian Gilbert, Iván Díaz, Kara Rudolph, et al.Biostatistics (Oxford, England)|March 10, 2019
ConvSCCS: convolutional self-controlled case series model for lagged adverse event detectionMaryan Morel, Emmanuel Bacry, Stéphane Gaïffas, et al.Biostatistics (Oxford, England)|September 12, 2019
Copula-based semiparametric regression method for bivariate data under general interval censoringTao Sun, Ying DingBiostatistics (Oxford, England)|February 2, 2021
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediatorsKara E Rudolph, Iván DíazBiostatistics (Oxford, England)|December 11, 2021
Overcoming the impacts of two-step batch effect correction on gene expression estimation and inferenceTenglong Li, Yuqing Zhang, Prasad Patil, et al.Biostatistics (Oxford, England)|October 16, 2009
Exploratory data analysis in large-scale genetic studiesYik Y TeoBiostatistics (Oxford, England)|September 15, 2011
Relative risk regression: reliable and flexible methods for log-binomial modelsIan C Marschner, Alexandra C GillettBiostatistics (Oxford, England)|February 2, 2012
On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trialLu Tian, Tianxi Cai, Lihui Zhao, et al.Biostatistics (Oxford, England)|December 20, 2011
Restricted fence method for covariate selection in longitudinal data analysisThuan Nguyen, Jiming JiangBiostatistics (Oxford, England)|August 13, 2011
Inference for discretely observed stochastic kinetic networks with applications to epidemic modelingBoseung Choi, Grzegorz A RempalaPageof 141