A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small p-values in permutation tests Article

Yang, James J, Trucco, Elisa M, Buu, Anne. (2019). A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small p-values in permutation tests . STATISTICAL METHODS IN MEDICAL RESEARCH, 28(10-11), 2937-2951. 10.1177/0962280218791918

Open Access

cited authors

  • Yang, James J; Trucco, Elisa M; Buu, Anne

sustainable development goals

authors

publication date

  • November 1, 2019

keywords

  • ALGORITHM
  • Edgeworth expansion
  • GENOME-WIDE ASSOCIATION
  • Genome-wide association study
  • Health Care Sciences & Services
  • Life Sciences & Biomedicine
  • Mathematical & Computational Biology
  • Mathematics
  • Medical Informatics
  • Monte Carlo
  • Physical Sciences
  • STRATIFICATION
  • Science & Technology
  • Statistics & Probability
  • p-value
  • permutation test

Digital Object Identifier (DOI)

publisher

  • SAGE PUBLICATIONS LTD

start page

  • 2937

end page

  • 2951

volume

  • 28

issue

  • 10-11