72 citations · 102 across the 11 of their papers we have counts for
11 papers
The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait
Ziang Zhang, Lei Sun
Accurate power and sample size estimation are crucial to the design and analysis of genetic association studies. When analyzing a binary trait via logistic regression, important co…
General Behaviour of P-Values Under the Null and Alternative
Yanbo Tang, Radu Craiu, Lei Sun
Hypothesis testing results often rely on simple, yet important assumptions about the behaviour of the distribution of p-values under the null and the alternative. We examine tests…
A stable and adaptive polygenic signal detection method based on repeated sample splitting
Yanyan Zhao, Lei Sun
Focusing on polygenic signal detection in high dimensional genetic association studies of complex traits, we develop an adaptive test for generalized linear models to accommodate d…
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…
Bayesian Model Averaging for the X-Chromosome Inactivation Dilemma in Genetic Association Study
Bo Chen, Radu V. Craiu, Lei Sun
X-chromosome is often excluded from the so called `whole-genome' association studies due to its intrinsic difference between males and females. One particular analytical challenge…
A Generalized Levene's Scale Test for Variance Heterogeneity in the Presence of Sample Correlation and Group Uncertainty
David Soave, Lei Sun
We generalize Levene's test for variance (scale) heterogeneity between groups for more complex data, which includes sample correlation and group membership uncertainty. Followi…