Introduction to AddArmsToTrial

Steffen Ventz

2016-08-13

Introduction

This vignette gives a short overview on how to use the package for the design of multi-arms trials that add arms to an ongoing trial under balanced (BR) or outcome-adaptive (BAR and DBCD) designs.

The package contains:

  1. General functions used by all three designs.
    • Generat.Outcome(), generate counterfactual outcome-data used to simulate trials
    • Posterior.with.control(), a function to compute for each experimental arm the posterior probability of a positive treatment effect.
    • Apply.stopping.rules(), a function used to stop ineffective arms early for futility
  2. Functions for balanced design
    • Randomize.BR.add()
    • Simulate.BR.add.trial()
  3. Functions for Bayesian outcome-adaptiv design
    • Randomize.BAR.add()
    • Simulate.BAR.add.trial()
  4. Functions for Doubly Adaptive Biased Coin Designs
    • Randomize.DBCD.add()
    • Simulate.DBCD.add.trial()

Design

Analysis