beta.ab

mean efficacies for given dose. Values range from 0 - 100. (e.g, T cell persistence - values b/w 5 and 80 per cent)

efficacy variance per dose. Values range from 0 - 1. (e.g., 0.01)

Function <code>beta.ab()</code> returns parameters alpha and beta for generating beta r.v. (per dose)

internal

Simulate and implement early phase two-stage adaptive dose-finding design for binary and quasi-continuous toxicity endpoints. See Chiuzan et al. (2018) for further reading <DOI:10.1080/19466315.2018.1462727>.

Alyssa Vanderbeek

iAdapt

Two-Stage Adaptive Dose-Finding Clinical Trial Design

Laura Cosgrove

Elizabeth Garrett-Mayer

Cody Chiuzan

beta.ab function

Generates parameters for the beta distribution # I don't think we need to show this as a separate function, 
                                                        but put together with gen.eff.stg1 or be called by gen.eff.stg1 — beta.ab

Generates parameters for the beta distribution # I don't think we need to show this as a separate function, 
                                                        but put together with gen.eff.stg1 or be called by gen.eff.stg1

beta.ab: Generates parameters for the beta distribution # I don't think we need to show this as a separate function, but put together with gen.eff.stg1 or be called by gen.eff.stg1

Description

Usage

Arguments

Value