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 |
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 |
8 | Defining Accrual Time and Accrual Intensity with rpact | Utilities | Survival | This R Markdown document provides a technical view on the different alternatives to define accrual time and accrual intensity with rpact. |
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 |
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., |
7 | Analysis of a Group Sequential Trial with a Survival Endpoint using rpact | 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 with rpact | 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 using rpact | Analysis | Categorical | This R Markdown document shows how to analyse and interpret multi-arm designs for testing proportions with rpact. Multi-arm |
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 |
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