Rare Disease Clinical Trials Tools

Table of Contents

The Rare Disease Clinical Trial Network is grateful to the following organisations for their kind permission to share their resources with our members.

ECRIN’s Rare Disease Clinical Trials Toolbox has been developed as a practical aid for developers of clinical trials on medicinal products for human use regardless of therapeutic area.

Resources include:

The RStudio Basics

The RDCTN has compiled a resource on how to do basic analysis and result visualisation using RStudio. This resource provides a step-by-step introduction to using RStudio and suggestions for how to write your project script.

 

Brief guide to downloading RStudio from posit

This explains what the function of each section in RStudio is, so that you can orientate yourself

This section includes:

  • Suggestions for structuring your script
  • Create a directory and workspace
  • Save your script and work
  • Installing and loading libraries

This will explain how to:

  • Upload your data in RStudio
  • Calculate statistics for numeric variables (such as mean, standard deviation and your sample size)
  • Calculate statistics for categorial variables (such as proportions and sample size)
  • Create user-friendly and diverse visualisations of your data

Find step-by-step guides, practice data and template script here:

So we can keep improving this resource, please provide feedback here:

 The EJP VP Portal provides a single access point for researchers to explore and query a variety of interconnected Rare Disease resources.

Resources include:

RED is a central resource for information about clinical study regulatory and ethical requirements in Europe. This tool helps locate relevant information needed to support your clinical research.

EuroGEMS.org is an ESHG-approved online resource which provides genetic and genomic information for both educators and individuals. 

This resources can assist:

Also visit the accompanying app which provides explanations for the most frequently used terms in clinical genomics!

Network Partners