plot_simon_study_state: Plots the study state of a given Simon's two-stage design.

In OneArmPhaseTwoStudy: Planning, Conducting, and Analysing Single-Arm Phase II Studies

Description

Plots the study state of a given Simon's two-stage design displaying the already enrolled patients and the stopping rules.

Usage

plot_simon_study_state(sr, enrolledPat = data.frame(ep1 = logical()), r1, n1,
  r, n)

Arguments

sr	dataframe containing the stopping rules for the given Simon's two-stage design defined by two columns named "Enrolled_patients" and "Needed_responses_ep1". This way each row defines when the study has to be stopped for futility.
enrolledPat	dataframe defined by a boolean vector in one column named "ep1" indicating which patient had a response.
r1	critical value for the first stage.
n1	sample size for the first stage.
r	critical value for the subset endpoint.
n	overall sample size.

Examples

#Calculate a Simon's two-stage design
design <- getSolutions()$Solutions[3,] #minimax-design for the default values.
#Define the stopping rules according to the chosen design
sr <- data.frame(Enrolled_patients = c(design$n1, design$n),
Needed_responses_ep1 = c(design$r1, design$r))
#Simulate 18 random generated outcomes.
enrolledPat <- data.frame(ep1 = rbinom(18,1, design$p1))
#Plot study state
plot_simon_study_state(sr, enrolledPat, design$r1, design$n1, design$r, design$n)

Example output

Loading required package: Rcpp

OneArmPhaseTwoStudy documentation built on May 2, 2019, 9:28 a.m.