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.

Version: 1.0.0
Depends: R (≥ 3.0.2), lme4, stats4, plyr, data.table
Imports: ggplot2 (≥ 2.0.0), methods, graphics, grDevices, stats, utils
Published: 2018-03-27
Author: Artemis Toumazi, Sarah Zohar, Anand N. Vidyashankar, Jie Xu and Moreno Ursino
Maintainer: Artemis Toumazi <artemis.toumazi at gmail.com>
BugReports: http://github.com/artemis-toumazi/dfmeta/issues
License: GPL (≥ 3) | file LICENSE
URL: http://github.com/artemis-toumazi/dfmeta
NeedsCompilation: no
SystemRequirements: C++11
Materials: README
CRAN checks: dfmeta results


Reference manual: dfmeta.pdf
Package source: dfmeta_1.0.0.tar.gz
Windows binaries: r-devel: dfmeta_1.0.0.zip, r-release: dfmeta_1.0.0.zip, r-oldrel: dfmeta_1.0.0.zip
OS X binaries: r-release: dfmeta_1.0.0.tgz, r-oldrel: dfmeta_1.0.0.tgz


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