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CoRpower: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials

CoRpower is an R package implementing power calculations described in Gilbert PB, Janes HE, Huang Y. Power/sample size calculations for assessing correlates of risk in clinical efficacy trials. Statistics in Medicine. 2016;35(21):45-59.

The vignette titled Introduction to R Package CoRpower describes in depth how to use the package.

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Install

install.packages('CoRpower')

Monthly Downloads

248

Version

1.0.4

License

GPL-2

Issues

0

Pull Requests

0

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0

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0

Maintainer

Michal Juraska

Last Published

November 17th, 2020

Functions in CoRpower (1.0.4)

plotVElatCont

Plotting Treatment (Vaccine) Efficacy Curves for Different Correlate of Risk Relative Risks for Continuous Biomarkers
plotPowerCont

Plotting of Power Curve versus Correlate of Risk Effect Size for Continuous Biomarkers
plotPowerTri

Plotting of Power versus Correlate of Risk Effect Size for Dichotomous and Trichotomous Biomarkers
computeN

Estimation of Size and Numbers of Cases and Controls in the Target Population of Active Treatment Recipients At Risk at the Biomarker Sampling Timepoint
plotROCcurveTri

Plotting of ROC Curves for Trichotomous Biomarkers
plotRRgradVE

Plotting of the Ratio of Relative Risks for Higher/Lower Latent Subgroups against Correlate of Risk Effect Size for Trichotomous Biomarkers
computePower

Power Calculations for Assessing Intermediate Biomarkers as Correlates of Risk in the Active Treatment Group in Clinical Efficacy Trials, Accounting for Biomarker's Measurement Error and Treatment Efficacy