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) .


Implements Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints and longitudinal efficacy measure from multiple treatment cycles and allows individualized dose modification. The package provides a number of model-based phase I designs, 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.

Installation

This package can be installed directly from R by running the following code:

library(devtools)
install_github("LuZhangstat/phase1PRMD")

Usage

library(phase1PRMD)
?RunPRMD
?SimPRMD

Detailed manual will relase in the near future

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Reference manual

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install.packages("phase1PRMD")

1.0.1 by Lu Zhang, 8 months ago


Browse source code at https://github.com/cran/phase1PRMD


Authors: Lu Zhang , Jun Yin


Documentation:   PDF Manual  


GPL (>= 2) license


Imports rjags, arrayhelpers, phase1RMD, MASS, reshape2, dplyr, plyr, RColorBrewer, gridExtra, kableExtra, knitr

Depends on coda, ggplot2, stats

System requirements: JAGS (http://mcmc-jags.sourceforge.net)


See at CRAN