News/Updates

rpact version 3.5.0 available on CRAN

Fri Jan 26

The new functions getSampleSizeCounts() and getPowerCounts() can be used to perform sample size calculations and the assessment of test characteristics for clinical trials with negative binomial distributed count data. This is possible for fixed sample size and group sequential designs.

For the latter, the methodology described in Muetze et al. (2019) is implemented. These functions can also be used to perform blinded sample size reassessments according to Friede and Schmidli (2010).

See NEWS on CRAN (The Comprehensive R Archive Network) for details: https://CRAN.R-project.org/package=rpact

rpact version 3.4.0 available on CRAN

Thu Jul 20

The new rpact version includes many improvements and new features, e.g., the new function getPerformanceScore() calculates the conditional performance score, its sub-scores and components according to Herrmann et al. (2020) for a given simulation result from a two-stage design; see NEWS on CRAN (The Comprehensive R Archive Network) for details: https://CRAN.R-project.org/package=rpact

rpact version 3.3.4 available on CRAN

Mon Feb 27

The new rpact version includes many improvements, e.g., stage-wise allocation ratio definition for simulation means and rates; see NEWS on CRAN (The Comprehensive R Archive Network) for details: https://CRAN.R-project.org/package=rpact

rpact version 3.3.2 available on CRAN

Mon Nov 28

The new rpact version includes many improvements, e.g., better performance of simulation means; see NEWS on CRAN (The Comprehensive R Archive Network) for details: https://CRAN.R-project.org/package=rpact

Events

Presentation for the U.S. Food and Drug Administration (FDA), March 3, 2022, 9:00am - 11:00am…

03
Mar -

Online Training Course for PPD, January 13, 2022.

13
Jan -

Testimonials

Daniel

TU/e

“rpact is by far the easiest to use.”
(Professor Daniel Lakens, Human-Technology Interaction Group, Eindhoven University of Technology, The Netherlands)

Director

Pharma

“We regularly use rpact for the design of group-sequential and adaptive trials at our company. The package is continuously evolving and includes state-of-the-art methods such as estimation of…

Daniel

TU/e

“[…] it is an incredibly accessible and useful tool for sequential analyses. […] I think your rpact package and shiny app might be a bit of a game-changer on this front, as it makes the required…