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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "remaCor" in publications use:'
type: software
license: Artistic-2.0
title: 'remaCor: Random Effects Meta-Analysis for Correlated Test Statistics'
version: 0.0.19
doi: 10.1093/bioinformatics/btx242
identifiers:
- type: doi
  value: 10.32614/CRAN.package.remaCor
abstract: Meta-analysis is widely used to summarize estimated effects sizes across
  multiple statistical tests. Standard fixed and random effect meta-analysis methods
  assume that the estimated of the effect sizes are statistically independent. Here
  we relax this assumption and enable meta-analysis when the correlation matrix between
  effect size estimates is known. Fixed effect meta-analysis uses the method of Lin
  and Sullivan (2009) <https://doi.org/10.1016/j.ajhg.2009.11.001>, and random effects
  meta-analysis uses the method of Han, et al. <https://doi.org/10.1093/hmg/ddw049>.
authors:
- family-names: Hoffman
  given-names: Gabriel
  email: gabriel.hoffman@mssm.edu
  orcid: https://orcid.org/0000-0002-0957-0224
preferred-citation:
  type: article
  title: Increasing the power of meta-analysis of genome-wide association studies
    to detect heterogeneous effects
  authors:
  - family-names: Lee
    given-names: CH
  - family-names: Eskin
    given-names: Eleazar
  - family-names: Han
    given-names: Buhm
  year: '2017'
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/btx242
  volume: '33'
  issue: '14'
  start: i379
  end: i388
repository: https://diseaseneurogenomics.r-universe.dev
repository-code: https://github.com/DiseaseNeurogenomics/remaCor
commit: 63821de189a49d7b2f7da86c80908a4bd0991106
url: https://diseaseneurogenomics.github.io/remaCor/
date-released: '2024-02-27'
contact:
- family-names: Hoffman
  given-names: Gabriel
  email: gabriel.hoffman@mssm.edu
  orcid: https://orcid.org/0000-0002-0957-0224
references:
- type: article
  title: A general framework for meta-analyzing dependent studies with overlapping
    subjects in association mapping
  authors:
  - family-names: Han
    given-names: Buhm
  - family-names: al.
    given-names: et
  year: '2016'
  journal: Hum. Mol. Genet.
  doi: 10.1093/hmg/ddw049
  volume: '25'
  issue: '9'
  start: 1857-1866
- type: article
  title: Random-effects model aimed at discovering associations in meta-analysis of
    genome-wide association studies
  authors:
  - family-names: Han
    given-names: Buhm
  - family-names: Eskin
    given-names: Eleazar
  year: '2011'
  journal: Am. J. Hum. Genet.
  doi: 10.1016/j.ajhg.2011.04.014
  volume: '88'
  issue: '5'
  start: '586'
  end: '598'