Decision curve analysis: confidence intervals and hypothesis testing for net benefit
Abstract Background A number of recent papers have proposed methods to calculate confidence intervals and p values for net benefit used in decision curve analysis. These papers are sparse on the rationale for doing so. We aim to assess the relation between sampling variability, inference, and decisi...
Saved in:
| Main Authors: | Andrew J. Vickers, Ben Van Claster, Laure Wynants, Ewout W. Steyerberg |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-06-01
|
| Series: | Diagnostic and Prognostic Research |
| Online Access: | https://doi.org/10.1186/s41512-023-00148-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Correction: Decision curve analysis: confidence intervals and hypothesis testing for net benefit
by: Andrew J. Vickers, et al.
Published: (2025-03-01) -
Testing the environment Kuznets curve (EKC) hypothesis in the Democratic Republic of Congo
by: Bwami Kahombera RUPIN, et al.
Published: (2024-11-01) -
Testing greenhouse gasses in Slovakia for environmental Kuznets curve and pollution haven hypothesis
by: Jana Kubicová
Published: (2014-09-01) -
On the transition probabilities confidence interval evaluation in the syndromic analysis
by: Algimantas Bikelis, et al.
Published: (2001-12-01) -
Fixed-width confidence interval for a lognormal mean
by: Makoto Aoshima, et al.
Published: (2002-01-01)