The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R
Dublin Core
Title
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R
Subject
optimal design, clinical trials, R
Description
Even though adaptive two-stage designs with unblinded interim analyses are becoming
increasingly popular in clinical trial designs, there is a lack of statistical software to make
their application more straightforward. The package adoptr fills this gap for the common case of two-stage one- or two-arm trials with (approximately) normally distributed
outcomes. In contrast to previous approaches, adoptr optimizes the entire design upfront
which allows maximal efficiency. To facilitate experimentation with different objective
functions, adoptr supports a flexible way of specifying both (composite) objective scores
and (conditional) constraints by the user. Special emphasis was put on providing measures to aid practitioners with the validation process of the package
increasingly popular in clinical trial designs, there is a lack of statistical software to make
their application more straightforward. The package adoptr fills this gap for the common case of two-stage one- or two-arm trials with (approximately) normally distributed
outcomes. In contrast to previous approaches, adoptr optimizes the entire design upfront
which allows maximal efficiency. To facilitate experimentation with different objective
functions, adoptr supports a flexible way of specifying both (composite) objective scores
and (conditional) constraints by the user. Special emphasis was put on providing measures to aid practitioners with the validation process of the package
Creator
Geraldine Rauch
Source
https://www.jstatsoft.org/article/view/v098i09
Publisher
Charité and BIH
Date
May 2021
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Geraldine Rauch, “The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/8195.