When testing genotype-phenotype associations using linear regression, departure of the trait distribution from normality can impact both Type I error rate ...

Jan 17, 2019 · When testing genotype-phenotype associations using linear regression, departure of the trait distribution from normality can impact both ...

Jul 25, 2024 · A fully adjusted two-stage procedure for rank-normalization in genetic association studies: SOFER et al. January 2019; Genetic Epidemiology ...

Jun 12, 2018 · Loss of power in two-stage residual- outcome regression analysis in genetic association studies. Genet Epidemiol. 2012;36(8):890-4. 12. Auer ...

When testing genotype-phenotype associations using linear regression, departure of the trait distribution from normality can impact both Type I error rate ...

AbstractWhen testing genotype-phenotype associations using linear regression, departure of the trait distribution from normality can impact both Type I ...

Jun 12, 2018 · Loss of power in two-stage residual- outcome regression analysis in genetic association studies. Genet Epidemiol. 2012;36(8):890-4. 12. Auer ...

Jun 19, 2020 · In genetic association studies, the rank-based inverse normal transformation (INT) to the phenotype is widely used as a direct manner to fulfill ...

Jan 17, 2019 · Genetic Epidemiology. RESEARCH ARTICLE. Full Access. A fully adjusted two-stage procedure for rank-normalization in genetic association studies.

A rank-based normalization method with the fully adjusted full-stage procedure in genetic association studies. Author & abstract; Download; 2 References; Most ...