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 descending | Endpoint | Summary |
---|---|---|---|---|
23 | Planning and Analyzing a Group-Sequential Multi-Arm-Multi-Stage Design with Binary Endpoint using rpact | Getting started | Categorical | This R Markdown document provides an example of implementing, simulating and analyzing multi-arm-multi-stage (MAMS) designs for testing rates with rpact with special regards to futility bound determination, treatment arm selection and generic data analysis. After exemplarily using the binary endpoint analysis module from rpact, an illustrative landmark analysis (comparison of empirical survival probabilities at specific time point) using Greenwoods standard error estimation is to be performed. Since rpact itself does not directly support this type of analysis, another packages’ functionality needs to be utilized to perform the survival probability and standard error estimation to eventually use the estimates as input for a hypothetical continuous endpoint dataset which subsequently is to be analyzed as such. Multi-arm |
22 | Step-by-Step rpact Tutorial | Getting started | Categorical, Continuous, Survival | The R package ‘rpact’ has been developed to design sequential and adaptive experiments. Many of the functions of the R package are available in an online Shiny app. For more information about |
14 | Planning a trial with binary endpoints with rpact | Planning | Categorical | This R Markdown document provides an example for planning a trial with a binary endpoint using rpact. It also illustrates the use of ggplot2 for illustrating the characteristics of a sample size recalculation strategy. Another example for planning a trial with binary endpoints can be found here. Sample size, Power simulation |
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. |
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. |
15 | Planning a survival trial with rpact | Planning | Survival | This R Markdown document provides an example for planning a trial with a survival endpoint using rpact thereby illustrating the different ways of entering recruitment schemes. It also demonstrates the use of the survival simulation function. Power simulation, Sample size |
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. |
5 | Simulation-based design of group-sequential trials with a survival endpoint with rpact | Planning | Survival | This R Markdown document describes how to simulate design characterics for survival design under complex settings (incl. non-proportional hazards) in rpact. Power simulation |
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. |
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. |
20 | Simulating multi-arm designs with a continuous endpoint | Planning | Continuous | This R Markdown document provides examples for simulating multi-arm multi-stage (MAMS) designs for testing means with rpact. Power simulation, Multi-arm |
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 |
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. |
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