2 citations · 3 across the 4 of their papers we have counts for
5 papers
Surrogacy Validation for Time-to-Event Outcomes with Illness-Death Frailty Models
Emily K. Roberts, Michael R. Elliott, Jeremy M. G. Taylor
A common practice in clinical trials is to evaluate a treatment effect on an intermediate endpoint when the true outcome of interest would be difficult or costly to measure. We con…
Robust Model-based Inference for Non-Probability Samples
Ali Rafei, Michael R. Elliott, Carol A. C. Flannagan
With the ubiquitous availability of unstructured data, growing attention is paid as how to adjust for selection bias in such non-probability samples. The majority of the robust est…
Robust and Efficient Bayesian Inference for Non-Probability Samples
Ali Rafei, Michael R. Elliott, Carol A. C. Flannagan
The declining response rates in probability surveys along with the widespread availability of unstructured data has led to growing research into non-probability samples. Existing r…
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…
Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis vs. Literature Review
Brady T. West, James Wagner, Stephanie Coffey +1
Responsive Survey Design (RSD) aims to increase the efficiency of survey data collection via live monitoring of paradata and the introduction of protocol changes when survey errors…