Function reference • phase1b

All functions

ASLdata: An example dataset formatted as subject level VAD

ATEdata: An example dataset formatted as time to event efficacy VAD

phase1b-package Phase1b-package Phase1b phase1b: Calculations for decisions on Phase 1b clinical trials

TTEdata: Example of time to event dataset

boundsPostprob(): Decision cutpoints for boundary (based on posterior probability)

boundsPredprob(): Decision cutpoints for boundary (based on predictive probability)

dbetaMix(): Beta-Mixture density function

dbetabinom(): Beta-Binomial Density Function

dbetabinomMix(): Beta-Mixture-Binomial Density Function

dbetadiff(): The Difference between Two Beta Distributions

myPlotDiff(): Plot Diff Between two Beta distributions

oc2(): Run simulations to obtain operating characteristics for methods that include historical data on control

oc3(): Run simulations to obtain operating characteristics for methods that include historical data on control

ocPostprob(): Operating Characteristics for Posterior Probability method

ocPostprobDist(): Calculate Operating characteristics of Posterior Probability method with Beta Prior on the Control or Standard of Care Arm

ocPredprob(): Operating Characteristics for Predictive Probability method

ocPredprobDist(): Calculate operating characteristics for predictive probability method with beta prior on SOC response rate (gray zone allowed in the final analysis for Decision 2)

ocRctPostprobDist(): Calculate operating characteristics for RCT against SOC, using the posterior probability method with beta priors

ocRctPredprobDist(): Calculate operating characteristics for RCT against SOC, using the predictive probability method with beta priors

pbetaMix(): Beta-Mixture CDF

pbetadiff(): Beta difference Cumulative Probability Function

plotBeta(): Plot the Beta distribution

plotBounds(): Plot the boundary decision cutpoints

plotDecision(): Plot a summary plot corresponding to the sumTable output

plotOc(): Display the operating characteristics using an oc object

postprob(): Posterior Probability of Efficacy Given Beta-Mixture Prior

postprobBeta(): Posterior Probability of Efficacy Given Beta Prior

postprobDist(): Compute the Posterior Probability with Beta Prior on standard of care S

predprob(): Predictive probability of trial success

predprobDist(): Compute the predictive probability that the trial will be successful, with a prior distribution on the standard of care or S

qbetaMix(): Beta-Mixture Quantile Function

qbetadiff(): Beta difference Quantile Function

runShinyPhase1b(): Launch the ShinyPhase1b app

sumBetadiff(): Mode and Credible Interval Calculation for The Difference between Two Beta Distributions

sumTable(): Return summary statistics under one response scenario