3 papers
stat.ME2016
Is the familywise error rate in genomics controlled by methods based on the effective number of independent tests?
Kari Krizak Halle, Srdjan Djurovic, Ole Andreas Andreassen +1
In genome-wide association (GWA) studies the goal is to detect association between one or more genetic markers and a given phenotype. The number of genetic markers in a GWA study c…
stat.ME2016
Permutation in genetic association studies with covariates: controlling the familywise error rate with score tests in generalized linear models
Kari Krizak Halle, Mette Langaas
In genome-wide association (GWA) studies the goal is to detect associations between genetic markers and a given phenotype. The number of genetic markers can be large and effective…
stat.ME2016
Efficient and powerful familywise error control in genome-wide association studies using generalized linear models
K. K. Halle, Ø. Bakke, S. Djurovic +5
In genetic association studies, detecting phenotype-genotype association is a primary goal. We assume that the relationship between the data -phenotype, genetic markers and environ…