Accounting for selection and correlation in the analysis of two-stage genome-wide association studies
The problem of selection bias has long been recognized in the analysis of two-stage trials, where promising candidates are selected in stage 1 for confirmatory analysis in stage 2. To efficiently correct for bias, uniformly minimum variance conditionally unbiased estimators (UMVCUEs) have been propo...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031943/ |