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researcher

M. Langaas

8 papers hereh-index 241.6k citations75 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME6
  • cs.LG1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20132021
most citedPowerful extreme phenotype sampling designs and score tests for genetic association studies

38 citations · 51 across the 8 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

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★ 5 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.