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pro vyhledávání: '"Langaas, Mette"'
We investigate saddlepoint approximations applied to the score test statistic in genome-wide association studies with binary phenotypes. The inaccuracy in the normal approximation of the score test statistic increases with increasing sample imbalance
Externí odkaz:
http://arxiv.org/abs/2110.04025
Autor:
Johnsen, Pål Vegard, Strümke, Inga, Riemer-Sørensen, Signe, DeWan, Andrew Thomas, Langaas, Mette
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 important in the underlying data generating process. We present a Shapley v
Externí odkaz:
http://arxiv.org/abs/2109.00855
Autor:
de Soysa, Ann Kristin H., Martins, Catia, Langaas, Mette, Grill, Valdemar, Mostad, Ingrid Løvold
Publikováno v:
In Current Developments in Nutrition February 2023 7(2)
Publikováno v:
Statistics in Medicine. 2018; 37: 4234-4251
We consider cross-sectional genetic association studies (common and rare variants) where non-genetic information is available, or feasible to obtain for $N$ individuals, but where it is infeasible to genotype all $N$ individuals. We consider continuo
Externí odkaz:
http://arxiv.org/abs/1701.01286
Autor:
Halle, Kari Krizak, Langaas, Mette
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 methods for control of the overall error rate is a central topic when
Externí odkaz:
http://arxiv.org/abs/1612.07010
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 can be in the order hundreds of thousands and therefore multiple testin
Externí odkaz:
http://arxiv.org/abs/1612.04535
Autor:
Moldovan, Max, Langaas, Mette
Publikováno v:
Advances in Systems Science and Applications (2014) Vol.14 No.1 76-83
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 locus. Our method can be based on any arbitrary ranking test statistics
Externí odkaz:
http://arxiv.org/abs/1307.7537
Autor:
Langaas, Mette, Bakke, Øyvind
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 test statistics for monotone association. For a given test statistic, the
Externí odkaz:
http://arxiv.org/abs/1307.7536
Autor:
Velle-Forbord, Torbjørn, Eidlaug, Maria, Debik, Julia, Sæther, Julie Caroline, Follestad, Turid, Nauman, Javaid, Gigante, Bruna, Røsjø, Helge, Omland, Torbjørn, Langaas, Mette, Bye, Anja
Publikováno v:
In Atherosclerosis October 2019 289:1-7
Akademický článek
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