LuZhangstat/Phase1Mayo: Personalized Repeated Measurement Design for Phase I Clinical Trials

Implements Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints and longitudinal efficacy measure from multiple treatment cycles. The package provides flags to fit a variety of model-based phase I design, including 1 stage models with or without individualized dose modification, 3-stage models with or without individualized dose modification, etc. Functions are provided to recommend dosage selection based on the data collected in the available patient cohorts and to simulate trial characteristics given design parameters. Yin, Jun, et al. (2017) <doi:10.1002/sim.7134>.

Getting started

Package details

AuthorLu Zhang, Jun Yin
MaintainerLu Zhang <luzhangstat@gmail.com>
LicenseGPL (>= 2)
Version1.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LuZhangstat/Phase1Mayo")
LuZhangstat/Phase1Mayo documentation built on March 16, 2020, 1:32 a.m.