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 Category Sort ascending Endpoint Summary
18 How to Create One- and Multi-Arm Analysis Result Plots with rpact Utilities Categorical, Continuous, Survival

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

Analysis
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 argument type will be illustrated.

Sample size, Power simulation, Power
19 How to Create One- and Multi-Arm Simulation Result Plots with rpact Utilities 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, Planning
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.

9 How to use R Generics with rpact Utilities Categorical, Continuous, Survival

This R Markdown document provides many different examples that illustrate the usage of so-called R generic functions (short: R generics) with rpact, e.g., as.data.frame or summary.

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.

13 Using the Inverse Normal Combination Test for Analysing a Trial with Continuous Endpoint and Potential Sample Size Re-Assessment Analysis Continuous

This R Markdown document provides an example for analysing trials with a continuous endpoint and sample size reassessment using 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
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.

16 Simulation of a Trial with a Binary Endpoint and Unblinded Sample Size Re-Calculation with rpact Planning Categorical

This R Markdown document provides examples for assessing trials with adaptive sample size re-calculation (SSR) using rpact. It also shows how to implement the promizing zone approach as proposed by Mehta and Pocock 2011 and further developed by Hsiao et al 2019 with rpact.

Power simulation

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…