Skip to main content
release_alert
Welcome to the new Scholars 3.0! Read about new features and let us know what you think.
cancel
Journal cover image

Score-based adjustment for confounding by population stratification in genetic association studies.

Publication ,  Journal Article
Allen, A; Epstein, MP; Satten, GA
Published in: Genet Epidemiol
July 2010

Duke Scholars

Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

July 2010

Volume

34

Issue

5

Start / End Page

383 / 385

Location

United States

Related Subject Headings

  • Research Design
  • Propensity Score
  • Population Groups
  • Models, Statistical
  • Models, Genetic
  • Humans
  • Genome, Human
  • Genetic Association Studies
  • Epidemiology
  • Confounding Factors, Epidemiologic
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Allen, A., Epstein, M. P., & Satten, G. A. (2010). Score-based adjustment for confounding by population stratification in genetic association studies. Genet Epidemiol, 34(5), 383–385. https://doi.org/10.1002/gepi.20487
Allen, Andrew, Michael P. Epstein, and Glen A. Satten. “Score-based adjustment for confounding by population stratification in genetic association studies.Genet Epidemiol 34, no. 5 (July 2010): 383–85. https://doi.org/10.1002/gepi.20487.
Allen A, Epstein MP, Satten GA. Score-based adjustment for confounding by population stratification in genetic association studies. Genet Epidemiol. 2010 Jul;34(5):383–5.
Allen, Andrew, et al. “Score-based adjustment for confounding by population stratification in genetic association studies.Genet Epidemiol, vol. 34, no. 5, July 2010, pp. 383–85. Pubmed, doi:10.1002/gepi.20487.
Allen A, Epstein MP, Satten GA. Score-based adjustment for confounding by population stratification in genetic association studies. Genet Epidemiol. 2010 Jul;34(5):383–385.
Journal cover image

Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

July 2010

Volume

34

Issue

5

Start / End Page

383 / 385

Location

United States

Related Subject Headings

  • Research Design
  • Propensity Score
  • Population Groups
  • Models, Statistical
  • Models, Genetic
  • Humans
  • Genome, Human
  • Genetic Association Studies
  • Epidemiology
  • Confounding Factors, Epidemiologic