13 citations · 13 across the 5 of their papers we have counts for
5 papers
Sensitivity Analysis when Generalizing Causal Effects from Multiple Studies to a Target Population: Motivation from the ECHO Program
Bolun Liu, Trang Quynh Nguyen, Elizabeth A. Stuart +22
Unobserved effect modifiers can induce bias when generalizing causal effect estimates to target populations. In this work, we extend a sensitivity analysis framework assessing the…
Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
Lee S. McDaniel, Jonathan S. Schildcrout, Enrique F. Schisterman +1
Biased sampling designs can be highly efficient when studying rare (binary) or low variability (continuous) endpoints. We consider longitudinal data settings in which the probabili…
Bayesian inference on dependence in multivariate longitudinal data
Hongxia Yang, Fan Li, Enrique F. Schisterman +2
In many applications, it is of interest to assess the dependence structure in multivariate longitudinal data. Discovering such dependence is challenging due to the dimensionality i…
Nonparametric ROC Summary Statistics for Correlated Diagnostic Marker Data
Liansheng Larry Tang, Aiyi Liu, Zhen Chen +3
We propose efficient nonparametric statistics to compare medical imaging modalities in multi-reader multi-test data and to compare markers in longitudinal ROC data. The proposed me…
A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity
Enrique F. Schisterman, Albert Vexler, Aijun Ye +1
Pooling specimens, a well-accepted sampling strategy in biomedical research, can be applied to reduce the cost of studying biomarkers. Even if the cost of a single assay is not a m…