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Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.

Publication ,  Journal Article
Huizinga, TWJ; Pisetsky, DS; Kimberly, RP
Published in: Arthritis Rheum
July 2004

Duke Scholars

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Published In

Arthritis Rheum

DOI

ISSN

0004-3591

Publication Date

July 2004

Volume

50

Issue

7

Start / End Page

2066 / 2071

Location

United States

Related Subject Headings

  • Rheumatic Diseases
  • Research Design
  • Reproducibility of Results
  • Publishing
  • Phenotype
  • Periodicals as Topic
  • Patient Selection
  • Models, Genetic
  • Humans
  • Haplotypes
 

Citation

APA
Chicago
ICMJE
MLA
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Huizinga, T. W. J., Pisetsky, D. S., & Kimberly, R. P. (2004). Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum, 50(7), 2066–2071. https://doi.org/10.1002/art.20360
Huizinga, Tom W. J., David S. Pisetsky, and Robert P. Kimberly. “Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.Arthritis Rheum 50, no. 7 (July 2004): 2066–71. https://doi.org/10.1002/art.20360.
Huizinga TWJ, Pisetsky DS, Kimberly RP. Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum. 2004 Jul;50(7):2066–71.
Huizinga, Tom W. J., et al. “Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism.Arthritis Rheum, vol. 50, no. 7, July 2004, pp. 2066–71. Pubmed, doi:10.1002/art.20360.
Huizinga TWJ, Pisetsky DS, Kimberly RP. Associations, populations, and the truth: recommendations for genetic association studies in Arthritis & Rheumatism. Arthritis Rheum. 2004 Jul;50(7):2066–2071.
Journal cover image

Published In

Arthritis Rheum

DOI

ISSN

0004-3591

Publication Date

July 2004

Volume

50

Issue

7

Start / End Page

2066 / 2071

Location

United States

Related Subject Headings

  • Rheumatic Diseases
  • Research Design
  • Reproducibility of Results
  • Publishing
  • Phenotype
  • Periodicals as Topic
  • Patient Selection
  • Models, Genetic
  • Humans
  • Haplotypes