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Biostatistics (Oxford, England)|April 7, 2009
Efficient parameter estimation in longitudinal data analysis using a hybrid GEE methodDenis H Y Leung, You-Gan Wang, Min ZhuBiostatistics (Oxford, England)|April 29, 2014
Standard error estimation using the EM algorithm for the joint modeling of survival and longitudinal dataCong Xu, Paul D Baines, Jane-Ling WangBiostatistics (Oxford, England)|March 24, 2016
Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcomeZiwen Tan, Guoyou Qin, Haibo ZhouBiostatistics (Oxford, England)|December 16, 2020
Quantifying diagnostic accuracy improvement of new biomarkers for competing risk outcomesZheng Wang, Yu Cheng, Eric C Seaberg, et al.Biostatistics (Oxford, England)|July 9, 2026
Data-adaptive identification of effect modifiers through stochastic shift interventions and cross-validated targeted learningDavid McCoy, Wenxin Zhang, Alan Hubbard, et al.Biostatistics (Oxford, England)|October 8, 2023
Improved fMRI-based pain prediction using Bayesian group-wise functional registrationGuoqing Wang, Abhirup Datta, Martin A LindquistBiostatistics (Oxford, England)|September 6, 2014
A discrete-time survival model with random effects for designing and analyzing repeated low-dose challenge experimentsChaeryon Kang, Ying Huang, Christopher J MillerBiostatistics (Oxford, England)|July 7, 2026
Risk estimation and dynamic prediction using discrete-time joint models for longitudinal and multistate data with interval and state censoringLu You, Falastin Salami, Carina Törn, et al.Biostatistics (Oxford, England)|July 28, 2026
Semi-supervised calibration of inferred outcomes for estimating average treatment effects with validated outcomesDaniel A Xu, Katherine P Liao, Tianxi Cai, et al.Biostatistics (Oxford, England)|July 22, 2026
Causal estimands and identification of time-varying effects in nonstationary time series from N-of-1 mobile device dataXiaoxuan Cai, Li Zeng, Charlotte Fowler, et al.Pageof 141