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NNTbiomarker  

Calculate Design Parameters for Biomarker Validation Studies
View on CRAN: Click here


Download and install NNTbiomarker package within the R console
Install from CRAN:
install.packages("NNTbiomarker")

Install from Github:
library("remotes")
install_github("cran/NNTbiomarker")

Install by package version:
library("remotes")
install_version("NNTbiomarker", "0.29.11")



Attach the package and use:
library("NNTbiomarker")
Maintained by
Roger Day
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-05
Latest Update: 2015-08-21
Description:
Helps a clinical trial team discuss the clinical goals of a well-defined biomarker with a diagnostic, staging, prognostic, or predictive purpose. From this discussion will come a statistical plan for a (non-randomized) validation trial. Both prospective and retrospective trials are supported. In a specific focused discussion, investigators should determine the range of "discomfort" for the NNT, number needed to treat. The meaning of the discomfort range, [NNTlower, NNTupper], is that within this range most physicians would feel discomfort either in treating or withholding treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg, become the targets of the study's design. If the trial can demonstrate that a positive biomarker test yields an NNT less than NNTlower, and that a negative biomarker test yields an NNT less than NNTlower, then the biomarker may be useful for patients. A highlight of the package is visualization of a "contra-Bayes" theorem, which produces criteria for retrospective case-controls studies.
How to cite:
Roger Day (2015). NNTbiomarker: Calculate Design Parameters for Biomarker Validation Studies. R package version 0.29.11, https://cran.r-project.org/web/packages/NNTbiomarker. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.28 (2015-05-05 16:14)
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