160 citations · 168 across the 11 of their papers we have counts for
11 papers
Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall
Jasper B. Yang, Bryan E. Shepherd, Thomas Lumley +1
The R package optimall offers a collection of functions that efficiently streamline the design process of sampling in surveys ranging from simple to complex. The package's main fun…
Improved Generalized Raking Estimators to Address Dependent Covariate and Failure-Time Outcome Error
Eric J. Oh, Bryan E. Shepherd, Thomas Lumley +1
Biomedical studies that use electronic health records (EHR) data for inference are often subject to bias due to measurement error. The measurement error present in EHR data is typi…
Two-phase analysis and study design for survival models with error-prone exposures
Kyunghee Han, Thomas Lumley, Bryan E. Shepherd +1
Increasingly, medical research is dependent on data collected for non-research purposes, such as electronic health records data (EHR). EHR data and other large databases can be pro…
An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures
Lillian A. Boe, Lesley F. Tinker, Pamela A. Shaw
Measurement error arises commonly in clinical research settings that rely on data from electronic health records or large observational cohorts. In particular, self-reported outcom…
Missing at Random or Not: A Semiparametric Testing Approach
Rui Duan, C. Jason Liang, Pamela Shaw +2
Practical problems with missing data are common, and statistical methods have been developed concerning the validity and/or efficiency of statistical procedures. On a central focus…
Novel Non-Negative Variance Estimator for (Modified) Within-Cluster Resampling
Daniel Xu, Pamela Shaw, Ian Barnett
This article proposes a novel variance estimator for within-cluster resampling (WCR) and modified within-cluster resampling (MWCR) - two existing methods for analyzing longitudinal…