Skip to main content
SpringerLink
Log in

Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek

  • Discussion
  • Published:
Computational Statistics Aims and scope Submit manuscript

A Rejoinder to this article was published on 08 January 2020

The Original Article was published on 06 January 2020

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • Frommlet F, Ruhaltinger F, Twarog P, Bogdan M (2012) Modified versions of Bayesian Information Criterion for genome-wide association studies. Comput Stat Data Anal 56:1038–1051

    Article  MathSciNet  Google Scholar 

  • Wasserstein RL, Lazar NA (2016) The ASA’s statement on p-values: context, process, and purpose. Am Stat 70(2):129–133

    Article  MathSciNet  Google Scholar 

  • Wasserstein RL, Schirm AL, Lazar NA (2019) Moving to a world beyond \(p < 0.05\). Am Stat 73(sup1):1–19

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Medical Statistics, Informatics and Intelligent Systems (Institute of Medical Statistics), Medical University of Vienna, Vienna, Austria

    Florian Frommlet

  2. Research Unit of Statistical Bioinformatics (Institute for Medical Informatics, Statistics and Documentation), Medical University of Graz, Graz, Austria

    Michael G. Schimek

Authors
  1. Florian Frommlet
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael G. Schimek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michael G. Schimek.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This comment refers to the invited paper available at: https://doi.org/10.1007/s00180-019-00939-2.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Frommlet, F., Schimek, M.G. Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek. Comput Stat 35, 47–49 (2020). https://doi.org/10.1007/s00180-019-00945-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00180-019-00945-4

Search

Navigation