power.ctepd-package: Power and sample size for clinical trials and epidemiology

In statapps/power.ctepd: Power and sample size for clinical trials and epidemiology

Power and sample size for clinical trials and epidemiology

Description

This package provides a set of tools for power and sample size calculations in clinical trials and epidemiology.

Details

"power.ctepd" is a R package for power and sample size calculatins in clinical trials and epidemiology. Please use the following steps to install 'power.ctepd' package:

1. First, you need to install the 'devtools' package. You can skip this step if you have 'devtools' installed in your R. Invoke R and then type

install.packages("devtools")

2. Load the devtools package.

library(devtools)

3. Install "power.ctepd" package with R commond

install_github("statapps/power.ctepd")

"power.ctepd" uses different statistical methods to identify cut-point (thershold parameter) for the biomarker in either generalized linear models or Cox proportional hazards model.

Author(s)

Bingshu E. Chen

Maintainer: Bingshu E. Chen <[e-mail]>

References

Chen, B. E., Jiang, W. and Tu, D. (2014). A hierarchical Bayes model for biomarker subset effects in clinical trials. Computational Statistics and Data Analysis. vol 71, page 324-334.

See Also

power.t.test, pwr.p.test, pwr.2p.test

Examples

pw = power.surv.test(n = 75, s0 = 0.83, s1 = 0.92, sig.level = 0.1)

statapps/power.ctepd documentation built on April 26, 2024, 3:22 a.m.