R/Pharma 2023 Workshops

R/Pharma 2023 Workshops

R/Pharma is excited to host 17 free workshops!. Workshops will run October 16th-20th, 23rd and 27th and are hosted by members of the community. Workshops are always one of the highlights of R/Pharma and we are indebted to the hosts who prepare them.

If you have not registered for the R/Pharma conference we ask that you do so before selecting a workshop. You can join at https://hopin.com/events/r-pharma-2023/registration.

We have some suggested tracks below to accommodate many interests. Please feel free to take multiple workshops.

Clinical Programmer

  • {targets} & {crew} for Clinical Trial Simulation Pipelines
  • Pharmaverse Friday: Pharmaverse Champion. Intro to the Pharmaverse
  • Pharmaverse Friday: Revolutionize Clinical Trial Data Exploration - teal
  • Pharmaverse Friday: Generating TLGs using NEST / Falcon - a Masterclass

Beginner

  • Visual Studio Code for Pharma: An Introduction
  • Introduction to Machine Learning with {tidymodels}
  • Pharmaverse Friday: Pharmaverse Champion. Intro to the Pharmaverse

Data Science

  • Version Control with Git & RStudio – Handy Tips for Use & How to Resolve Common Issues
  • Visual Studio Code for Pharma: An Introduction
  • Introduction to Machine Learning with {tidymodels}
  • Quarto All the Things!
  • A Case-Study Driven Motivation of Analysis Results Data
  • An Intro to Unveiling OPS Cell Patterns with Python

Data Analytics

  • Using pointblank Package to Ensure Maximal Data Quality: Pfizer Case Study
  • Introduction to Machine Learning with {tidymodels}
  • A Case-Study Driven Motivation of Analysis Results Data
  • From The Statistical Method To The R Package - The mmrm Example
  • Building a Survival Model in Stan

Python

  • Visual Studio Code for Pharma: An Introduction
  • An Intro to Unveiling OPS Cell Patterns with Python

Admin

  • Preview of Posit Administrator Training
  • Developing & Testing Your Shiny Application

Shiny

  • Developing & Testing Your Shiny Application
  • Pharmaverse Friday: Revolutionize Clinical Trial Data Exploration - teal

Data Viz

  • Observable Plot
  • Advanced Exploratory Visualization Techniques - ggplot2, plotly & purrr

you can find registration links for all the workshops at https://rinpharma.com/workshop/2023conference/.