ContMon_plotbound: Plot properties of continuous safety monitoring boundaries

In IDDI-BE/PhII_Bayes: Bayesian tools for PhII clinical trial design

Description

This function plots the properties of continuous safety monitoring boundaries

Usage

ContMon_plotbound(data_in, out)

Arguments

data_in	resulting list (containing data with results, and vector with assumptions for calculating properties) from the 'getbound' function
out	path for storing png output files

Details

Freq_prob_date gives the P(X>c+1|n,tox_true) for different n and for different assumptions, specified by the 'tox_ass' parameter

Bayes_probgives the Bayesian posterior probability P(toxicity rate<=target|c+1,n), so given that this boundary 'c+1' is exceeded, for different assumptions, specified by the 'tox_ass' parameter

Cum_Freq_prob_1 gives the cumulative probability of at least 1x crossing the boundary

Cum_Freq_prob_2 gives the cumulative probability of at least 1x/2x/3x and 4x crossing the boundary

Examples

## Not run: 
result<-getbound(SS=39,target=0.2,P_target=0.9,maxtox=NULL,tox_ass=seq(0.10,0.5,0.05),
    sim=1,nsim=100,prt1=6,out=NULL)
ContMon_plotbound(data_in=result,out="C:/Users/kdhollander/Downloads/")

## End(Not run)

IDDI-BE/PhII_Bayes documentation built on May 19, 2021, 3:04 p.m.