summary_simVBIA: Summarize simulation results

In floatofmath/blindConfidence: Simulation of estimation after blinded interim analysis

Description

Computes summary statistics for simulation results computed with simVBIA

Usage

summary_simVBIA(simresults)

Arguments

simresults

result of simVBIA with option fulldata set to TRUE

Value

summary statistics over simulation results

If fulldata is FALSE simVBIA returns a list with the following items, summarizing the simulation results for designs with sample size reassessment based on the adjusted interim variance estimates:

lower.prob	Coverage probability of the lower confidence bound
upper.prob	Coverage probability of the upper confidence bound
total.prob	Coverage probability of the two sided confidence interval
mean.bias	Bias of the mean estimate
variance.bias	Bias of the variance estimate
ev	Variance of the mean estimate as estimated from the adaptive trian
exv	Variance of the mean estimate of a fixed sample trial with corresponding sample size
vm	Variance of the mean estimate in the monte carlo sample
root.mse	Root mean squared error of the effect estimate
mean.m1	Mean second stage sample size
low.m1	Lower 10 percen quantile of second stage sample sizes
n10	Probability that the second stage sample size is zero

as well as results for designs with sample size reassessment based on unadjusted interim estimates:

uc.mean.bias	Bias of the mean estimate
uc.variance.bias	Bias of the variance estimate
uc.ev	Variance of the mean estimate as estimated from the adaptive trian
uc.exv	Variance of the mean estimate of a fixed sample trial with corresponding sample size
uc.vm	Variance of the mean estimate in the monte carlo sample
uc.root.mse	Root mean squared error of the effect estimate
uc.mean.m1	Mean second stage sample size
uc.low.m1	Lower 10 percen quantile of second stage sample sizes
uc.N10	Probability that the second stage sample size is zero
tn1	mean(n1)

Author(s)

float

floatofmath/blindConfidence documentation built on May 16, 2019, 1:20 p.m.