R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
NNTbiomarker
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]
[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 08 Aug. 2026.
Previous versions and publish date:
Other packages that cited NNTbiomarker R package
View NNTbiomarker citation profile
Other R packages that NNTbiomarker depends,
imports, suggests or enhances
Complete documentation for NNTbiomarker
Functions, R codes and Examples using
the NNTbiomarker R package
Some associated functions: NNT.from.pv . NNT.from.sesp . NNT.to.pv . NNT.to.sesp . NNTbiomarker-package . NNTintervalsProspective . NNTintervalsRetrospective . ROCplots . achievable.se.sp . argmin . binom.confint . grapes-and-grapes . pv.from.sesp . run . runCombinePlots . runElicit . sesp.from.pv.feasible . sesp.from.pv . setVerboseCatOption .
Some associated R codes: NNTintervals.R . ROCplots.R . aaa.R . achievable.se.sp.R . argmin.R . binom.confint.R . ifVerboseCat.R . run.R . sesp-pv-NNT.R . zzz.R . Full NNTbiomarker package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
Morpho
A toolset for Geometric Morphometrics and mesh processing. This
includes (among other stuff) mesh d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stefan Schlager (view profile)
FastGaSP
Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using fo ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mengyang Gu (view profile)
skewt
Density, distribution function, quantile function and random generation for the skewed t distributio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Robert King (view profile)
box
A modern module system for R. Organise code into hierarchical,
composable, reusable modules, and us ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Konrad Rudolph (view profile)
productplots
Framework for visualising tables of counts, proportions
and probabilities. The framework is called ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hadley Wickham (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
28,083
R Packages
239,283
Dependencies
74,752
Author Associations
28,084
Publication Badges
