6 citations · 8 across the 7 of their papers we have counts for
9 papers
Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Emily Roberts, Michael Elliott, Jeremy M. G. Taylor
A surrogate endpoint S in a clinical trial is an outcome that may be measured earlier or more easily than the true outcome of interest T. In this work, we extend causal inference a…
Multiple imputation with missing data indicators
Lauren J Beesley, Irina Bondarenko, Michael R Elliott +3
Multiple imputation is a well-established general technique for analyzing data with missing values. A convenient way to implement multiple imputation is sequential regression multi…
Accounting for not-at-random missingness through imputation stacking
Lauren J Beesley, Jeremy M G Taylor
Not-at-random missingness presents a challenge in addressing missing data in many health research applications. In this paper, we propose a new approach to account for not-at-rando…
Using Multiple Imputation to Classify Potential Outcomes Subgroups
Yun Li, Irina Bondarenko, Michael R. Elliott +2
With medical tests becoming increasingly available, concerns about over-testing and over-treatment dramatically increase. Hence, it is important to understand the influence of test…
Analysis of time-to-event for observational studies: Guidance to the use of intensity models
Per Kragh Andersen, Maja Pohar Perme, Hans C van Houwelingen +6
This paper provides guidance for researchers with some mathematical background on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models.…
A stacked approach for chained equations multiple imputation incorporating the substantive model
Lauren Beesley, Jeremy M G Taylor
Multiple imputation by chained equations (MICE) has emerged as a popular approach for handling missing data. A central challenge for applying MICE is determining how to incorporate…
Personalized Screening Intervals for Biomarkers using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Jeremy M. G. Taylor, Joost van Rosmalen +2
Screening and surveillance are routinely used in medicine for early detection of disease and close monitoring of progression. Biomarkers are one of the primarily tools used for the…
Bayesian shrinkage methods for partially observed data with many predictors
Philip S. Boonstra, Bhramar Mukherjee, Jeremy M. G. Taylor
Motivated by the increasing use of and rapid changes in array technologies, we consider the prediction problem of fitting a linear regression relating a continuous outcome to a…
Signal extraction and breakpoint identification for array CGH data using robust state space model
Bin Zhu, Jeremy M. G. Taylor, Peter X. -K. Song
Array comparative genomic hybridization(CGH) is a high resolution technique to assess DNA copy number variation. Identifying breakpoints where copy number changes will enhance the…