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Statistical Methods in Medical Research|July 6, 2023
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard modelsLingfeng Luo, Kevin He, Wenbo Wu, et al.Journal of Open Source Software|December 24, 2024
surtvep: An R package for estimating time-varying effectsLingfeng Luo, Wenbo Wu, Jeremy M G Taylor, et al.Lifetime Data Analysis|January 29, 2022
Scalable proximal methods for cause-specific hazard modeling with time-varying coefficientsWenbo Wu, Jeremy M G Taylor, Andrew F Brouwer, et al.Lifetime Data Analysis|May 12, 2026
Gradient boosting-based discrete failure time model for selecting time-varying effects and interactionsLingfeng Luo, Kevin He, Jeremy M G TaylorStatistical Methods in Medical Research|May 24, 2014
Increasing efficiency for estimating treatment-biomarker interactions with historical dataPhilip S Boonstra, Jeremy Mg Taylor, Bhramar MukherjeeStatistical Methods in Medical Research|November 3, 2012
A Phase I/II trial design when response is unobserved in subjects with dose-limiting toxicityThomas M Braun, Shan Kang, Jeremy Mg TaylorThe Annals of Applied Statistics|January 18, 2014
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORSPhilip S Boonstra, Bhramar Mukherjee, Jeremy Mg TaylorClinical Trials (London, England)|May 22, 2018
Modeling adverse event counts in phase I clinical trials of a cytotoxic agentDaniel G Muenz, Thomas M Braun, Jeremy Mg TaylorStatistics in Medicine|March 23, 2022
Improving large-scale estimation and inference for profiling health care providersWenbo Wu, Yuan Yang, Jian Kang, et al.Statistical Methods in Medical Research|March 19, 2024
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomyDimitris Rizopoulos, Jeremy Mg Taylor, Grigorios Papageorgiou, et al.Pageof 51