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.
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/27/2018
Documentation
Team
Artemis Toumazi
Sarah Zohar
Show author detailsRolesAuthorAnand N. Vidyashankar
Show author detailsRolesAuthorJie Xu
Show author detailsRolesAuthorMoreno Ursino
Show author detailsRolesAuthor
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