4 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.AP2018★ 4 cited
The X Factor: A Robust and Powerful Approach to X-chromosome-Inclusive Whole-genome Association Studies
Bo Chen, Radu V. Craiu, Lisa J. Strug +1
The X-chromosome is often excluded from genome-wide association studies because of analytical challenges. Some of the problems, such as the random, skewed or no X-inactivation mode…
stat.AP2016
A composite likelihood ratio approach to the analysis of correlated binary data in genetic association studies
Zeynep Baskurt, Lisa Strug
The likelihood function represents statistical evidence in the context of data and a probability model. Considerable theory has demonstrated that evidence strength for different pa…
stat.ME2014
A novel joint location-scale testing framework for improved detection of variants with main or interaction effects
David Soave, Andrew Paterson, Lisa Strug +1
We propose a novel and easy-to-implement joint location-scale association testing procedure that can account for complex genetic architecture without explicitly modeling interactio…