Skip to main content

Advertisement

SpringerLink
Log in

Towards better use of the net reclassification improvement (NRI) index

  • Letter
  • Published:
Osteoporosis International Aims and scope Submit manuscript

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

Fig. 1

References

  1. Iki M, Fujita Y, Tamaki J et al (2015) Trabecular bone score may improve FRAX(R) prediction accuracy for major osteoporotic fractures in elderly Japanese men: the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) Cohort Study. Osteoporos Int 26:1841–1848. doi:10.1007/s00198-015-3092-3

    Article  PubMed  CAS  Google Scholar 

  2. Cook NR (2007) Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 115:928–935

    Article  PubMed  Google Scholar 

  3. Seshan VE, Gonen M, Begg CB (2013) Comparing ROC curves derived from regression models. Stat Med 32:1483–1493

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kanis JA, Oden A, Johansson H et al (2012) Pitfalls in the external validation of FRAX. Osteoporos Int 23:423–431

    Article  PubMed  CAS  Google Scholar 

  5. Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr et al (2008) Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 27:157–172

    Article  PubMed  Google Scholar 

  6. Leening MJ, Vedder MM, Witteman JC et al (2014) Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician’s guide. Ann Intern Med 160:122–131

    Article  PubMed  Google Scholar 

  7. Hilden J, Gerds TA (2013) A note on the evaluation of novel biomarkers: do not rely on integrated discrimination improvement and net reclassification index. Stat Med

  8. Steyerberg EW, Vickers AJ, Cook NR et al (2010) Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 21:128–138

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Disclosures

None relevant to this work.

Author information

Authors and Affiliations

  1. Department of Medicine (C5121), St. Boniface General Hospital, University of Manitoba, 409 Tache Avenue, Winnipeg, Manitoba, Canada, R2H 2A6

    W. D. Leslie

  2. Park Nicollet Institute/HealthPartners, University of Minnesota, Minneapolis, MN, USA

    J. T. Schousboe

  3. Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada

    L. M. Lix

Authors
  1. W. D. Leslie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. T. Schousboe
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. L. M. Lix
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to W. D. Leslie.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leslie, W.D., Schousboe, J.T. & Lix, L.M. Towards better use of the net reclassification improvement (NRI) index. Osteoporos Int 27, 411–412 (2016). https://doi.org/10.1007/s00198-015-3281-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-015-3281-0

Keywords

Search

Navigation