dfmeta: Meta-Analysis of Phase I Dose-Finding Early Clinical Trials

Meta-analysis approaches for Phase I dose finding early phases clinical trials in order to better suit requirements in terms of maximum tolerated dose (MTD) and maximal dose regimen (MDR). This package has currently three different approaches: (a) an approach proposed by Zohar et al, 2011, <doi:10.1002/sim.4121> (denoted as ZKO), (b) the Variance Weighted pooling analysis (called VarWT) and (c) the Random Effects Model Based (REMB) algorithm, where user can input his/her own model based approach or use the existing random effect logistic regression model (named as glimem) through the 'dfmeta' package.

Package details

AuthorArtemis Toumazi <[email protected]>, Sarah Zohar <[email protected]>, Anand N. Vidyashankar <[email protected]>, Jie Xu <[email protected]> and Moreno Ursino <[email protected]>
MaintainerArtemis Toumazi <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version1.0.0
URL http://github.com/artemis-toumazi/dfmeta
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dfmeta")

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dfmeta documentation built on May 1, 2019, 7:59 p.m.