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 <artemis.toumazi@gmail.com>, Sarah Zohar <sarah.zohar@inserm.fr>, Anand N. Vidyashankar <avidyash@gmu.edu>, Jie Xu <jxu13@gmu.edu> and Moreno Ursino <moreno.ursino@inserm.fr>
MaintainerArtemis Toumazi <artemis.toumazi@gmail.com>
LicenseGPL (>= 3) | file LICENSE
URL http://github.com/artemis-toumazi/dfmeta
Package repositoryView on CRAN
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dfmeta documentation built on May 1, 2019, 7:59 p.m.