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monitOS  

Monitoring Overall Survival in Pivotal Trials in Indolent Cancers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("monitOS", "0.1.5")



Attach the package and use:
library("monitOS")
Maintained by
Thibaud Coroller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-31
Latest Update: 2023-10-31
Description:
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.
How to cite:
Thibaud Coroller (2023). monitOS: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers. R package version 0.1.5, https://cran.r-project.org/web/packages/monitOS
Previous versions and publish date:
0.1.3 (2023-10-31 17:40), 0.1.4 (2024-03-05 17:10)
Other packages that cited monitOS R package
View monitOS citation profile
Other R packages that monitOS depends, imports, suggests or enhances
Functions, R codes and Examples using the monitOS R package
Some associated functions: app_server . app_ui . bounds . calc_posterior . calc_predictive . meeting_probs . run_app . 
Some associated R codes: bounds.R . posteriors.R . probs.R . runApp.R . server.R . ui.R .  Full monitOS package functions and examples
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