Package: monitOS 0.2.0

Thibaud Coroller

monitOS: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers

These guidelines are meant to provide a pragmatic, yet rigorous, help to drug developers and decision makers, since they are shaped by three fundamental ingredients: the clinically determined margin of detriment on OS that is unacceptably high (delta null); the benefit on OS that is plausible given the mechanism of action of the novel intervention (delta alt); and the quantity of information (i.e. survival events) it is feasible to accrue given the clinical and drug development setting. The proposed guidelines facilitate transparent discussions between stakeholders focusing on the risks of erroneous decisions and what might be an acceptable trade-off between power and the false positive error rate.

Authors:Thomas Fleming [ctb], Lisa Hampson [aut], Bharani Bharani-Dharan [ctb], Frank Bretz [ctb], Arunava Chakravartty [ctb], Thibaud Coroller [aut, cre], Evanthia Koukouli [aut], Janet Wittes [ctb], Nigel Yateman [ctb], Emmanuel Zuber [ctb], Novartis Pharma AG [cph]

monitOS_0.2.0.tar.gz
monitOS_0.2.0.zip(r-4.7-any)monitOS_0.2.0.zip(r-4.6-any)monitOS_0.2.0.zip(r-4.5-any)
monitOS_0.2.0.tgz(r-4.6-any)monitOS_0.2.0.tgz(r-4.5-any)
monitOS_0.2.0.tar.gz(r-4.7-any)monitOS_0.2.0.tar.gz(r-4.6-any)
monitOS_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
monitOS/json (API)

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

Bug tracker:https://github.com/novartis/monitos/issues

Pkgdown/docs site:https://opensource.nibr.com

On CRAN:

Conda:

indolentmonitoringsurvival

5.38 score 2 stars 2 scripts 204 downloads 6 exports 30 dependencies

Last updated from:7095b3f3d1. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE129
source / vignettesOK182
linux-releaseNOTE111
macos-releaseNOTE109
macos-oldrelNOTE87
windows-develNOTE88
windows-releaseNOTE74
windows-oldrelNOTE86
wasm-releaseOK100

Exports:boundscalc_posteriorcalc_predictivefind_posmeeting_probsrun_app

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable

Getting Started with monitOS
What is monitOS? | Core parameters | Installation | Scenario 1 — Standard trial: Follicular Lymphoma | Clinical context | Interpreting the output | Scenario 2 — Edge case: CLL Maintenance with Unequal Randomisation | Key observations for the edge case | Quick reference

Last update: 2026-03-27
Started: 2024-03-05

Interactive App (Shinylive)
Try monitOS in your browser | About Shinylive | Local Shiny App

Last update: 2026-03-27
Started: 2026-03-27