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Int J Stat Med Res. 2017;6(4):144-151. doi: 10.6000/1929-6029.2017.06.04.2.

The MAX Statistic is Less Powerful for Genome Wide Association Studies Under Most Alternative Hypotheses.

International journal of statistics in medical research

Benjamin Shifflett, Rong Huang, Steven D Edland

Affiliations

  1. Department of Physics, University of California San Diego, La Jolla CA, USA.
  2. Division of Biostatistics, Department of Family and Preventative Medicine, University of California San Diego, La Jolla, CA, USA.
  3. Department of Mathematics, University of California San Diego, La Jolla, CA, USA.
  4. Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.

PMID: 29387290 PMCID: PMC5788028 DOI: 10.6000/1929-6029.2017.06.04.2

Abstract

Genotypic association studies are prone to inflated type I error rates if multiple hypothesis testing is performed, e.g., sequentially testing for recessive, multiplicative, and dominant risk. Alternatives to multiple hypothesis testing include the model independent genotypic χ

Keywords: Armitage test; MAX statistic; Type I error; case-control study; efficiency robust statistics; multiple comparisons

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