Links to slides from R/Pharma::conf 2020

Pull requests welcome! Or add an issue, or tweet _@freestatman.

Most slides are hosted at rinpharma's GitHub repo .

Videos of the talks are at https://www.youtube.com/channel/UCT2TrH2M4zbRJZMH6iusyBQ.

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Workshops Material

Workshop and speaker home page

• Artificial Neural Networks in R with Keras and TensorFlow Leon Eyrich Jessen (DTU)

• Multilingual Markdown with R and Python Using Reticulate 📺 Mike Stackhouse (Atorus), Nathan Kosiba (Atorus)

• Tidy Transciptomics GitHub Stefano Mangiola (Walter and Eliza Hall of Medical Research), Maria Doyle (Peter MacCallum Cancer Center)

• Implementing a Risk-based Approach to R Validation, R package risk assessment Shiny app Andy Nicholls (Glaxosmithkline), Marly Gotti (Biogen)

• RMarkdown, GitHub Alison Hill (RStudio) _@apreshill, Tom Mock (RStudio)

• [Stan Workshop] Daniel Lee (Generable)

• Targets / Reproducible ML Pipelines GitHub Will Landau (Eli Lilly)

• Gt Rich Iannone (RStudio) _@riannone

• Unleash Shiny David Granjon (Novartis), John Coene (World Economic Forum), Colin Fay (ThinkR)

  • Post-workshop discussion on exercises: 📺 Exercise 1, 📺 Exercise 2, 📺 Exercise 3

• A PK & PBPK Modelling Workflow in R: Simulation, Optimization & Visualization Devin Pastoor (Metrum Research Group) & Kyle Baron (Metrum Research Group)

• Predictive modeling with text using tidy data principles GitHub Emil Hvitfeldt (University Southern California)

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Talks Material

Day 1

• [Challenges in an Evolving Regulatory Landscape: How Statisticians can Contribute] Matilde Kam (FDA)

• Stack'Em High! Ensembles Using tidymodels Max Kuhn (RStudio) _@topepos / Simon Couch (Reed College)

• The R Validation Hub: Implementing a Risk-Based Approach to R Andy Nicholls (Glaxosmithkline)

• Interactive Medical Oversight Reporting in R, Example Report Laure Cougnaud / Michela Pasetto / Arne de Roeck (OpenAnalytics and Galapagos)

• Implementing Mixed Models with Repeated Measures (MMRM) in R and Shiny for Regulatory Purposes Daniel Sabanes Bove (Roche)

• R Package Validation Framework Ellis Hughes (Fred Hutch)

• metashiny: Build Shiny Apps with a Shiny App Bo Wang (Novartis)

• [Out of Chaos, Comes Order: Adventures in Standardized and Reproducible Research] Leigh Alexander (SomaLogic)

• Numerical Validation as a Critical Aspect in Bringing R to the Clinical Research Adrian Olszewski (2kmm)

• geoMapr: A Shiny Application for Enriched Analysis of Drug Utilization Data Jae Joon Song (FDA)

• Becoming Multilingual Bella Feng (Gilead)

Day 2

• Data Visualization Practices for Real World Machine Learning Julia Silge (RStudio)

• Using R to Create End to End Process Predicting Delay in Recruitment from Covid-19 Christina Fillmore (Glaxosmithkline)

• With Great Graphs Comes Great Power Baldur Magnusson (Novartis)

• visR - A Package for Effective Visualizations in Pharma 🏠 Charlotta Früchtenicht (Roche)

• safetyGraphics v2.0 - Open Source Collaboration in Pharma using R and Shiny Jeremy Wildfire (Gilead)

• Styling Shiny & R Markdown with bootstraplib & thematic Carson Sievert (RStudio)

• Clinical Reporting Using R at GSK Michael Rimler (Glaxosmithkline)

• Leveraging Nested Data Frames in Regulatory Submissions ☁️ RStudio Cloud Slides are available in the RStudio Project. Mike Mehan (Illumina Inc)

• PREP – Packages fRom tEmPlates -An R Package to Streamline Development of Shiny Apps and R Packages 🏠 J. Kyle Wathen (Gilead)

• openNCA - open source Pharmacokinetic data repository and Non-compartmental Analysis System Thomas Tensfeldt (Pfizer)

• tidyCDISC an Open Source Platform in R to Analyze Clinical Trial Data 📺 Demo Maya Gans / Marly Gotti (Cytel and Biogen)

• Tplyr: An Intuitive Framework for Building Clinical Safety Summaries 🏠 Mike Stackhouse (Atorus)

• yspec: an R Package to Create and Deploy Data Set Specification Objects in a Modeling and Simulation Workflow Kyle Baron (Metrum)

Day 3

• Would John, Paul, George or Ringo Have Been Famous if it Were Not For The Beatles Douglas Robinson (Novartis)

• Julia in Pharma: The Ease of R Combined With The Speed of C++ Viral Shah (Julia Computing)

• Building and Managing Unified R Environments For Data Science and Software Development Dariusz Ratman (Roche)

• Using R Markdown to Generate Clinical Trials Summary Reports Radhika Etikala / Xuehan (Emily) Zhang (Fred Hutch)

• Reproducible Computation at Scale With targets Will Landau (Eli Lilly)

• [Seamless Visualisation of Complex Genomic Variations in GMOs and Edited Cell Lines Using gmoviz] Kathleen Zeglinski (CSL)

• Automated Data-Drive Analytics to Improve Robustness of Causal Effectiveness Studies in Healthcare Databases Richard Wyss (Harvard Medical School)

• r2rtf - a Lightweight R Package to Produce Tables and Figures in RTF Format Yilong Zhang (Merck)

• Benchmarking Algorithms for Subgroup Detection Sophie Sun (Novartis)

• The “See”-Value App: Visual Decision Making for Drug Development Hannah Diehl (MIT)

• It's a trap! A Data Science Case Story Leon Eyrich Jessen (Technical University of Denmark)

• X-Omics Platform Stefan Pinkert (Merck)

• RStudio's Pharma Updates 📺 Sean Lopp (RStudio)