DateMarch 5-8, 2023 LocationOrlando, FL

Atorus is attending and presenting at PHUSE US Connect 2023. Learn more about our presentations and request a meeting using the form to the right.

Tidytlg: An R Package for Clinical Reporting using Tidyverse 

Monday, March 6th, 4:00-4:30 PM, Oceans 12  

Eli Miller

Presented by:

Eli Miller

Cloud Architect 

Tidytlg provides a framework of creating tables, listings, and graphs (TLG) for clinical study reports. The TLG programming workflow consists of: (1) process the analysis datasets (e.g., filter data, convert character variable to factor, etc.), (2) generate analysis results by creating analysis rows of summary statistics (for tables) or plots (for graphs), and (3) output analysis results in designated format such as rtf or html. Tidytlg offers a suite of analysis functions to summarize descriptive statistics (univariate statistics and counts (percentages)) for table creation and a function to convert analysis results to rtf/html outputs. For graphic output, tidytlg can integrate plot objects created by ggplot2 or a png file with titles and footnotes to produce rtf/html output. We will present examples of creating typical demographic, adverse events, laboratory tables as well as listing and graph using tidytlg. 

How to Help Your Direct Reports Develop New Programming Skills 

Monday, March 6th , 4:30-5:00 PM, Oceans 10

Jess Higgins

Presented by:

Jessica Higgins

Director, Analytics Engineering

Programmers often want to gain new skills and learn the latest techniques, however, the needs and demands of the department they work in may not allow for educational opportunities during working hours. Additionally, as a manager, you want the best for your direct reports, but can’t think of a way for them to incorporate new skills into the current workload, nor do you want employees to learn a new skill but quickly forget it due to lack of use. I am going to explain how I have been able to leverage current and ongoing work projects as opportunities for skill growth by leveraging “useful educational projects” that can be used for exploring new programming skills and languages while also benefiting the department as a whole. By selecting carefully and setting up a “useful educational project” I’ve helped develop happy innovative programmers while still delivering high-quality work in the department. 

Using R for Automatically Managing Clinical Trial Data Issues 

Monday, March 6th 4:30-5:00 PM, Oceans 9 

Jess Higgins

Presented by:

Jessica Higgins

Director, Analytics Engineering

Jess Riedy

Jessica Riedy

Informatics Application Developer

Tracking data issues in clinical studies is a crucial and ongoing task. Keeping track of new issues as they arise and logging which issues have closed is cumbersome, and yet vitally important. There are a few data validation tools and techniques in R that can help with keeping track of issues and flagging them to be fixed. We have taken these tools and expanded upon them to not only find new issues, but to close resolved issues while maintaining a log of when the issue arose and was resolved. This utility can be run automatically or on demand to produce an easy to review markdown report as well as a detailed issue tracker log. By automatically closing resolved issues while saving a detailed history of the issues this utility saves time and effort that was previously spent manually checking and confirming that resolved issues have been closed.

Extending Your Rprofile with {envsetup} & {renv} 

Monday, March 6th, 4:30-5:00PM, Oceans 12 

mike stackhouse

Presented by:

Mike Stackhouse

Chief Innovation Officer

Do you ever wish or even expect your programming environment is just ready, so you can get to your work without thinking about paths and packages?  If so, or if you just want to learn what these seemingly random words are in the title like .Rprofile, envsetup and renv,  this talk is for you.  We’ll cover each briefly, provide recommendations for effective use and demo how the three can work together so you can just open your project, jump directly into your meaningful work, all the while, getting a more traceable and reproducible workflow for free.  Whether you are a beginner in R, the team setting up the R environment for your organization, or somewhere in between, come on by, there will be something for everyone.

Using renv and Posit Package Manager for Clinical Reproducibility

Wednesday, March 8th, 9:00-9:30 AM, Oceans 12 

mike stackhouse

Presented by:

Mike Stackhouse

Chief Innovation Officer

RStudio will be presenting an overview of best practices for R reproducibility using renv and RStudio Package Manager. This talk will highlight best practices to help guide R users and admins in reproducibility methods for Open Source projects in clinical environments. this talk will discuss approaches for best-supporting reproducibility for R in regulated environments. This short talk will provide an introduction to managing R and packages for reproducing the code environment in a clinical workspace and how IT can help enable this work. This talk will break down various strategies to improve the reproducibility of your clinical projects. 

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