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posit::conf Workshop:Leveraging & Contributing to the Pharmaverse for Clinical Trial Reporting in R

Register now: http://pos.it/conf Instructors: Pawel Rucki, Christina Fillmore, Thomas Neitmann Workshop Duration: 1-Day Workshop You should take this workshop if you are interested in the future of clinical trial reporting, and would like to join this shift to between company collaboration. In this workshop we will introduce the pharmaverse, a collection of open source R packages that provide the next generation backbone for clinical trial reporting. As of March 2023, 123 people from more than 10 companies have contributed to the pharmaverse packages - and this workshop is about how you can both leverage their work to date and get involved to help evolve this important collection of efforts. We will create ADaM datasets, prepare tables and figures as well as interactive shiny apps. This course will also give a grounding in how to navigate pharmaverse R packages, and their repositories, and understand how you can contribute

May 9, 2023
2 min
RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate

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Transcript#

This transcript was generated automatically and may contain errors.

That's the title of the workshop I have the pleasure to teach at this year's Posit.com alongside Christina Follmer from GSK and Pavel Lutsky over at Roche. And here's the top three reasons why you should sign up for this workshop.

Reason one: open source innovation in clinical trial reporting

Reason number one. Open source is really where all the innovation as it relates to clinical trial reporting is happening. But for the past decades, the industry has exclusively relied on commercial software to report their clinical trials. Over the past five years or so, this has really dramatically changed. And companies, a lot of big pharma companies, small biotechs are all now moving towards using open source tools and in particular R for their clinical trial reporting.

And the Pharmaverse is really where all of this innovation gets integrated and you will find a lot of very thoughtfully designed, well-written R packages for different aspects of clinical trial reporting. So if you want to be at the cutting edge of the open source development as it relates to clinical trial reporting, this is a workshop you must attend.

And the Pharmaverse is really where all of this innovation gets integrated and you will find a lot of very thoughtfully designed, well-written R packages for different aspects of clinical trial reporting.

Reason two: Shiny and interactive clinical trial apps

Number two. Shiny. Well, again, in the past, we have almost exclusively relied on static deliverables such as tables, listings and graphs for our final clinical study reports. This has been changing in recent years as well. And people increasingly leverage dashboard solutions, interactive data exploration apps for their clinical trial reporting. Not only internally for more exploratory purposes, but recently also for the regulatory side of things.

In fact, there has been a pilot submission to the US FDA of a Shiny app instead of the more traditional PDF-based static listings, tables and figures. We are teaching you how to use a particular Shiny framework called Teal, where you can learn how to create such an app by yourself. And I think you will really, really enjoy this experience.

Reason three: contributing back to the pharmaverse

And finally, number three, which is you will not only learn how you can leverage these tools, but how you can actually actively contribute to them, such that you can make the tools even better than they already are. If you see something and you think like, hey, we could change this up to make it even better doing XYZ, we will teach you exactly the steps you need to follow from things like creating issues on GitHub, how you can create a feature branch, so on and so forth.

But also very importantly, how you can contribute if you don't actually want to write our code. There's a lot of working groups within the Pharmaverse with different packages, tackling things like how should we handle lab data as it relates to our Adam datasets. And you can come in there, contribute your expertise, and that way ensure that what is already, in my opinion, a very, very robust set of packages becomes even better, more usable for your day-to-day clinical trial reporting work.

and that way ensure that what is already, in my opinion, a very, very robust set of packages becomes even better, more usable for your day-to-day clinical trial reporting work.

And with that being said, I'm really, really looking forward to seeing you in Chicago. Have a great rest of your day. Cheers.

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