2021 Conference

Stan: Building a survival model from scratch

Daniel Lee, Generable

Unleash your Shiny apps with JavaScript

Jean-Philippe Coene and David Granjon, Opifex | Novartis

A case-study driven introduction to the Julia language for R programmers

Devin Pastoor, Metrum Research Group

Building Tidy R Packages

Juliane Manitz and Leigh Alexander, EMD Serono | SomaLogic

Clinical Tables in gt

Rich Iannone, RStudio

R for Clinical Study Reports and Submission

Yilong Zhang and Nan Xiao and Keaven Anderson, Merck

SafetyGraphics

Jeremy Wildfire and Maya Gans and Xiao Ni, Gilead | Sarepta Therapeutics | Atorus Research

Python Machine Learning NLP

Kevin Lee, Genpact

tidy-transcriptomics

Stefano Mangiola and Maria Doyle, Walter and Eliza Hall Institute | Peter MacCallum Cancer Centre

R Admin - RStudio Connect

Kelly O’Briant, RStudio

Opening Remarks - Harvey Lieberman (R/Pharma, Novartis)

The gt Package: Past, Present, and Future

Rich Iannone, RStudio

Break

R Package Validation at Roche

Coline Zeballos, Roche / Genentech

Statistical Analysis and Pathway to a Risk-based Assessment of R packages at Merck KGaA/EMD Serono

Juliane Manitz, EMD Serono

Interactive Forest Plot for DMC Safety Monitoring in Clinical Trials

Yujie Zhao, Xuan Deng, Benjamin Wang, Yilong Zhang, Merck

Introducing {admiral}—The ADaM in R Asset Library

Thomas Neitmann and Teckla Akinyi, Roche | GSK

Break

R/Shiny tools for Immune Fitness Exploration

Volha Tryputsen, Wilson Tendong and Kathy Mutambanengwe, Janssen | Open Analytics

5 testing packages to make your package better!

Pawel Rucki, Roche / Genentech

Interactive and collaborative exploration of large-scale transcriptomics data with iSEE

Charlotte Soneson, Kevin Rue-Albrecht, Federico Marini, Aaron Lun, Friedrich Miescher Institute

The Arithmetic Problems in Scientific Software Architecture

Kamil Wais, 7N

Break

There’s only one R in Pfizer. Attempts to harmonise R release across a large pharma organisation

Mike Smith, Pfizer

SENDing Toxicology Study Data Analysis into the 21st Century with a New R Package: sendigR.

Kevin Snyder, FDA

Panel Discussion - Validation

Opening Remarks - Chirag Patel (Harvard Medical School)

Intermap: An integrative multiomics approach to generating therapeutic target hypotheses

Regis James, Regeneron

Break

Survival analysis with tidymodels: The censored package

Max Kuhn and Hannah Frick, RStudio

OneView – A Shiny app to unlock the full potential of drug repositioning investigations

Monika Huhn, Saleha Patel, Kalliopi Tsafou, Björn Magnusson, Elke Ericson, Wen Yu, Eliseo Papa, Stefano Bragaglia, Claire Donoghue, Faisal Khan, Hitesh Sanganee, Shameer Khader, Adrian Freeman, Astra Zeneca

GeneTonic: enjoying the interpretation of your RNA-seq data analysis

Annekathrin Ludt, IMBEI

R Consortium Pharma Working Groups Overview and Updates

Ning Leng, Adrian Waddell, Kate Ostbye, Andy Nicholls, R/Consortium | Roche | SCHARP | GSK

Break

Industrialized Machine Learning and Explainable AI for Late Phase Trails

Adam Skubala, Bayer

bayesDP - an R package for data augmentation using the Bayesian discount prior for clinical trials

Donald Musgrove, Tarek Haddad, Martin Fahey, Medtronic

Closing the Gap: Creating an End to End R Package Toolkit for the Clinical Reporting Pipeline

Ben Straub and Eli Miller, GSK | Atorus Research

Making Python Objects R-like with PyR

Robert Kirk DeLisle, Somalogic

Break

R at Warp Speed: Reproducible coding for COVID vaccine trials

David Benkeser, Emory University

Democratizing Shiny App Development: The Novartis DataPipeline Harmonized Framework

Ardalan Mishani, Novartis

Panel Discussion - Training and Leadership

Opening Remarks - Elena Rantou (R/Pharma, FDA)

Submitting Data to CDER: What Comes Next?

Heather Crandall and Paul Schuette, FDA

Break

Using {valtools} for software validation separate from development

Marie Vendettouli, Fred Hutch

Outstanding User Interfaces with Shiny

David Granjon, Novartis

Smoothing out our path to open source and pan-pharma code collaboration

James Black, Roche / Genentech

The New Roads Leading to Shiny Nirvana

Eric Nantz, Eli Lilly

Break

Data-as-a-Product: A data science framework for data collaborations

Afshin Mashadi-Hossein, Julie Rytlewski, Garth McGrath, BMS

Performing a risk assessment of R packages using the Risk Assessment Shiny Application

Marly Gotti, Biogen

Automatic generation of PowerPoint presentation for communication of clinical trial results

Rikke Nørmark Mortensen, Novo Nordisk

Reimagine the R package distribution system for reproducible research and submissions

Nan Xiao, Merck

Break

Summary Table Rewind: From Source to Summary and Back Again

Maya Gans, Mike Stackhouse, Atorus Research

The gsDesign Shiny app for clinical trial design

Keaven M Anderson, Merck

Panel Discussion - Scaling R and Shiny

Deep Learning

Leon Eyrich Jessen, Technical University of Denmark

R Package Validation Framework

Ellis Hughes and Marie Vendettuoli, Fred Hutch