Package: dfmeta 1.0.0

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.

Authors:Artemis Toumazi <[email protected]>, Sarah Zohar <[email protected]>, Anand N. Vidyashankar <[email protected]>, Jie Xu <[email protected]> and Moreno Ursino <[email protected]>

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dfmeta/json (API)

# Install 'dfmeta' in R:
install.packages('dfmeta', repos = c('https://artemis-toumazi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/artemis-toumazi/dfmeta/issues

Datasets:

On CRAN:

8 exports 0.00 score 36 dependencies 8 scripts 220 downloads

Last updated 6 years agofrom:2e992a7d1b. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winNOTESep 04 2024
R-4.5-linuxNOTESep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:doseRecordsfindFirstLastglimemMA_estimatesplotshowVarWTZKO

Dependencies:bootclicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigplyrR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr