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dfmeta  

Meta-Analysis of Phase I Dose-Finding Early Clinical Trials
View on CRAN: Click here


Download and install dfmeta package within the R console
Install from CRAN:
install.packages("dfmeta")

Install from Github:
library("remotes")
install_github("cran/dfmeta")

Install by package version:
library("remotes")
install_version("dfmeta", "1.0.0")



Attach the package and use:
library("dfmeta")
Maintained by
Artemis Toumazi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-27
Latest Update: 2018-03-27
Description:
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, (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.
How to cite:
Artemis Toumazi (2018). dfmeta: Meta-Analysis of Phase I Dose-Finding Early Clinical Trials. R package version 1.0.0, https://cran.r-project.org/web/packages/dfmeta. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for dfmeta
Functions, R codes and Examples using the dfmeta R package
Some associated functions: MA_estimates . REMB-class . Toxdata . VarWT . ZKO-class . ZKO . dfmeta-package . doseRecords . findFirstLast . glimem . plot-ZKO-missing-method . show-methods . 
Some associated R codes: MA_estimates.R . S4_classes.R . VarWT.R . ZKO.R . dfmeta-internal.R . doseRecords.R . findFirstLast.R . glimem.R .  Full dfmeta package functions and examples
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