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.

Maintainer: Roger Day <day01 at pitt.edu>

Author(s): Roger Day

Install package and any missing dependencies by running this line in your R console:

install.packages("NNTbiomarker")

Depends
Imports shiny, xtable, stringr, magrittr, mvbutils
Suggests testthat(>=0.8.1), knitr(>=1.6), rmarkdown, ggplot2, plyr
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Package NNTbiomarker
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Version 0.29.11
Published 2015-08-21
License GPL-3
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks NNTbiomarker check results
Package source NNTbiomarker_0.29.11.tar.gz