Vignettes

Developed for practical use: below you find a collection of practical examples and use-cases, the so-called rpact vignettes.

In addition to these public open access vignettes, our RPACT SLA customers have access to exclusive vignettes on special topics such as the analysis of multi-stage data with covariates from raw data.

# Title Sort descending Category Endpoint Summary
6 An example to illustrate boundary re-calculations during the trial Planning Survival

This R Markdown document provides an example for updating the group sequential boundaries when using an alpha spending function approach based on observed information rates in rpact.

7 Analysis of a group-sequential trial with a survival endpoint Analysis Survival

This R Markdown document provides examples how to analyse a survival trial and provide inference throughout and at the end of the trial with rpact.

21 Analysis of a multi-arm design with a binary endpoint Analysis Categorical

This R Markdown document shows how to analyse and interpret multi-arm designs for testing proportions with rpact.

Multi-arm
11 Comparing sample size and power calculation results for a group-sequential trial with a survival endpoint: rpact vs. gsDesign Planning Survival

This R Markdown document provides an example that illustrates how to compare sample size and power calculation results of the two different R packages rpact and gsDesign.

8 Defining accrual time and accrual intensity with rpact Planning Survival

This R Markdown document provides a technical view on the different alternatives to define accrual time and accrual intensity with rpact.

1 Defining group-sequential boundaries with rpact Planning Categorical, Continuous, Survival

This R Markdown document provides example code for the the definition of the most commonly used group-sequential boundaries in rpact.

3 Designing group-sequential trials with a binary endpoint with rpact Planning Categorical

This R Markdown document provides examples for designing trials with binary endpoints using rpact.

2 Designing group-sequential trials with two groups and a continuous endpoint with rpact Planning Continuous

This R Markdown document provides examples for designing trials with continuous endpoints using rpact.

4 Designing group-sequential trials with two groups and a survival endpoint with rpact Planning Survival

This R Markdown document provides examples for designing trials with survival endpoints using rpact.

10 How to create admirable plots with rpact Utilities Categorical, Continuous, Survival

This R Markdown document provides many different examples for creating plots with rpact and ggplot2, e.g. the plot arguments type and showSource will be illustrated.

Sample size, Power simulation, Power
18 How to create one- and multi-arm analysis result plots with rpact Analysis Categorical, Continuous, Survival

This R Markdown document provides many different examples for creating one- and multi-arm analysis result plots with rpact and ggplot2.

19 How to create one- and multi-arm simulation result plots with rpact Planning Categorical, Continuous, Survival

This R Markdown document provides many different examples for creating one- and multi-arm simulation result plots with rpact and ggplot2.

Power simulation, Multi-arm
17 How to create summaries with rpact Utilities Categorical, Continuous, Survival

This R Markdown document provides many different examples that illustrate the usage of the R generic function summary with rpact. This is a technical vignette and is to be considered mainly as a comprehensive overview of the possible summaries in rpact.

Events

Training Courses for GKM on November 12th and FGK on November 15th, 2021, Munich, Germany.

15
Nov -

Online Training Course for FGK and GKM, Munich, Germany.

09
Nov -

rpact, an R Package for Confirmatory Adaptive Group Sequential Designs, Academia Meets Industry…

07
Oct -

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…