Assessing discriminative ability of risk models in clustered data

Title
Assessing discriminative ability of risk models in clustered data
Authors
Keywords
Clustered data, Concordance, Discrimination, Meta-analysis, Prediction, Risk model
Journal
BMC Medical Research Methodology
Volume 14, Issue 1, Pages -
Publisher
Springer Nature
Online
2014-01-15
DOI
10.1186/1471-2288-14-5

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started