38 citations · 51 across the 8 of their papers we have counts for
8 papers
Saddlepoint approximations in binary genome-wide association studies
Pål Vegard Johnsen, Øyvind Bakke, Thea Bjørnland +2
We investigate saddlepoint approximations applied to the score test statistic in genome-wide association studies with binary phenotypes. The inaccuracy in the normal approximation…
Inferring feature importance with uncertainties in high-dimensional data
Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen +2
Estimating feature importance is a significant aspect of explaining data-based models. Besides explaining the model itself, an equally relevant question is which features are impor…
Powerful extreme phenotype sampling designs and score tests for genetic association studies
Thea Bjørnland, Anja Bye, Einar Ryeng +2
We consider cross-sectional genetic association studies (common and rare variants) where non-genetic information is available, or feasible to obtain for individuals, but where…
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…
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…
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…
Exact conditional p-values from arbitrary ranking of a sample space: An application to genome-wide association studies
Max Moldovan, Mette Langaas
We introduce a method for computation of exact conditional efficiency robust enumeration p-values for detection of genotype--phenotype associations at a single bi-allelic genetic l…
Robust Methods for Disease-Genotype Association in Genetic Association Studies: Calculate P-values Using Exact Conditional Enumeration instead of Asymptotic Approximations
Mette Langaas, Øyvind Bakke
In genetic association studies, detecting disease-genotype associations is a primary goal. For most diseases, the underlying genetic model is unknown, and we study seven robust tes…