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R/Pharma 2020

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Schedule

· Stage
Opening Remarks
Harvey Lieberman
· Stage
Challenges in an Evolving Regulatory Landscape: How Statisticians can Contribute
Matilde Kam
· Stage
Break
· Stage
Stack’Em High! Ensembles Using tidymodels
Max Kuhn Simon P. Couch
· Stage
The R Validation Hub: Implementing a Risk-Based Approach to R
Andy Nicholls
· Stage
Interactive Medical Oversight Reporting in R
Michela Pasetto Arne De Roeck Laure  Cougnaud
· Stage
Implementing Mixed Models with Repeated Measures (MMRM) in R and Shiny for Regulatory Purposes
Daniel Sabanes Bove
· Stage
Break
· Stage
R Package Validation Framework
Ellis Hughes
· Stage
metashiny: Build Shiny Apps with a Shiny App
Bo Wang
· Stage
Out of Chaos, Comes Order: Adventures in Standardized and Reproducible Research
Leigh Alexander
· Stage
Break
· Stage
Numerical Validation as a Critical Aspect in Bringing R to the Clinical Research
Adrian Olszewski
· Stage
geoMapr: A Shiny Application for Enriched Analysis of Drug Utilization Data
Jae Joon Song
· Stage
Becoming Multilingual
Bella Feng
· Stage
Closing Remarks
Devin Pastoor
· Stage
Opening Remarks
Timothy Tsai
· Stage
Data Visualization Practices for Real World Machine Learning
Julia Silge
· Stage
Break
· Stage
Using R to Create End to End Process Predicting Delay in Recruitment from Covid-19
Christina Fillmore
· Stage
With Great Graphs Comes Great Power
Baldur Magnusson
· Stage
visR - A Package for Effective Visualizations in Pharma
Charlotta Fruechtenicht
· Stage
safetyGraphics v2.0 - Open Source Collaboration in Pharma using R and Shiny
Jeremy Wildfire
· Stage
Break
· Stage
Styling Shiny & R Markdown with bootstraplib & thematic
Carson Sievert
· Stage
Clinical Reporting Using R at GSK
Michael Rimler
· Stage
Leveraging Nested Data Frames in Regulatory Submissions
Mike Mehan
· Stage
PREP – Packages fRom tEmPlates -An R Package to Streamline Development of Shiny Apps and R Packages
Kyle  Wathen
· Stage
Break
· Stage
openNCA - open source Pharmacokinetic data repository and Non-compartmental Analysis System
Thomas Tensfeldt
· Stage
tidyCDISC an Open Source Platform in R to Analyze Clinical Trial Data
Marly Gotti Maya Gans
· Stage
Tplyr: An Intuitive Framework for Building Clinical Safety Summaries
Michael Stackhouse
· Stage
yspec: an R Package to Create and Deploy Data Set Specification Objects in a Modeling and Simulation Workflow
Kyle Baron
· Stage
Closing Remarks
Paul Schuette
· Stage
Opening Remarks
Raul Torres
· Stage
Would John, Paul, George or Ringo Have Been Famous if it Were Not For The Beatles
Douglas Robinson
· Stage
Break
· Stage
Julia in Pharma: The Ease of R Combined With The Speed of C++
Viral Shah Vijay Ivaturi
· Stage
Seamless Visualisation of Complex Genomic Variations in GMOs and Edited Cell Lines Using gmoviz
Kathleen Zeglinski
· Stage
Using R Markdown to Generate Clinical Trials Summary Reports
Xuehan Zhang Radhika Etikala
· Stage
Reproducible Computation at Scale With targets
Will Landau
· Stage
Building and Managing Unified R Environments For Data Science and Software Development
Dariusz Ratman
· Stage
Break
· Stage
Improving Robustness of Evidence when Evaluating Causal Effects of Pharmaceutical Drugs in Healthcare Databases
Richard Wyss
· Stage
r2rtf - a Lightweight R Package to Produce Tables and Figures in RTF Format
Yilong Zhang
· Stage
Benchmarking Algorithms for Subgroup Detection
Sophie Sun
· Stage
The "See"-Value App: Visual Decision Making for Drug Development
Hannah Diehl
· Stage
Break
· Stage
It’s a trap! A Data Science Case Story
Leon Eyrich Jessen
· Stage
X-Omics Platform
Stefan Pinkert
· Stage
RStudio's Pharma Updates
Sean Lopp
· Stage
Closing Remarks
Joseph Rickert
· Sessions
Beatles Graphics Discussion
Come Together with Doug Robinson to talk about Good Graphics, Shiny Apps and The Beatles
Douglas Robinson

Speakers

Leigh Alexander

Bioinformatician, SomaLogic

Kyle Baron

Principal Scientist, Metrum Research Group

Simon P. Couch

Statistician, RStudio

Laure Cougnaud

Statistical Consultant, OpenAnalytics

Arne De Roeck

Biostatistician, Galapagos

Hannah Diehl

Graduate Student, MIT

Radhika Etikala

Senior Clinical Programmer, Fred Hutch

Bella Feng

Associate Director, Artificial Intelligence & Analytical Innovation, Kite Pharma

Christina Fillmore

Statistician, GSK

Charlotta Fruechtenicht

Senior Data Scientist, Personalized Healthcare Data Science, Roche

Maya Gans

Data Scientist, Cytel

Marly Gotti

Senior Data Scientist, Biogen

Ellis Hughes

Statistical Programmer, Fred Hutch

Vijay Ivaturi

Research Assistant Professor, University of Maryland

Leon Eyrich Jessen

Assistant Professor, Department of Health Technology, Technical University of Denmark

Matilde Kam

Associate Director for Analytics and Informatics, Office of Biostatistics, FDA

Max Kuhn

Software Engineer, RStudio

Will Landau

Research Statistician, Eli Lilly

Harvey Lieberman

R/Pharma / Associate Director, Early Development Biostatistics, Novartis

Sean Lopp

Customer Success, RStudio

Baldur Magnusson

Senior Director, Biostatistics, Novartis

Mike Mehan

Staff Bioinformatics Scientist, Illumina Inc

Andy Nicholls

Head of Statistical Data Sciences, GSK

Adrian Olszewski

Principal Biostatistician, 2KMM

Michela Pasetto

Data Scientist, OpenAnalytics

Devin Pastoor

Vice President, Technology Solutions, Metrum Research Group

Stefan Pinkert

Principal Scientist Bioinformatics, Merck

Dariusz Ratman

IT Expert (Data Science/Bioinformatics), Roche

Joseph Rickert

RStudio, R Consortium Board Chair

Michael Rimler

Clinical Programming Manager, GSK

Douglas Robinson

Global Head Scientific Computing and Consulting, Novartis

Daniel Sabanes Bove

Principal Statistical Programmer Analyst, Roche

Paul Schuette

Scientific Computing Coordinator for the Office of Biostatistics, FDA

Viral Shah

CEO, Julia Computing

Carson Sievert

Software Engineer, RStudio

Julia Silge

Data Scientist and Software Engineer, RStudio

Jae Joon Song

Center for Drug Evaluation Research (CDER), Office of Translational Sciences, Division of Biometrics, FDA

Michael Stackhouse

Data Scientist, Chief Innovation Officer, Atorus

Sophie Sun

Sr. Expert Data Science, Advanced Exploratory Analytics, Novartis

Thomas Tensfeldt

Senior Director, Global Pharmacometrics, Pfizer

Raul Torres

Data Science, Global Manufacturing Sciences, Takeda

Timothy Tsai

Marcus Institute for Aging Research, Biostatistics and Data Sciences Center, Harvard

Bo Wang

Sr. Expert Data Science, Scientific Computing and Consulting, Novartis

Kyle Wathen

Senior Director, Head of Advanced Analytics, Gilead

Jeremy Wildfire

Director Biostatistics, Gilead

Richard Wyss

Instructor in Medicine, Harvard Medical School

Kathleen Zeglinski

Honours Student, CSL

Xuehan Zhang

Clinical Programmer, Fred Hutch

Yilong Zhang

Statistician, Merck

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R/Pharma

R/Pharma - International conference for data scientists and statisticians in the Pharma Industry. Check the links below for updated information.

Booths

shinyMobile

Develop outstanding {shiny} apps for iOS, Android, desktop as well as beautiful {shiny} gadgets

reactor

Unit Testing Shiny App Reactivity

dbparser

The dbparser package parses the DrugBank XML database into R tibbles that can be explored and analyzed by the user

Polly Discover

An app to fetch and visualize any publically available expression data from GEO

targets

Reproducible computation at scale in R

Tplyr

A Grammar of Data Format and Summary

pharmaRTF

Enhanced RTF Wrapper for Use with Existing Table Packages

ADaM Data Dependency Diagram Generator

An R Shiny Application for Generating ADaM Data Dependency Diagram (Flow Chart) in ADRG

tidyCDISC

A shiny app to easily create custom tables and figures from ADaM datasets

mkstdpkg

mkstdpkg: A Standard Template R Package Practicing Software Development Life Cycle in Merck

acuna

Easy to use app to create architecture and install products for your environment

metashiny

Build Shiny apps with a Shiny app

tidymodules

An Object-Oriented approach to Shiny modules

pointblank

Data validation and organization of metadata for data frames and database tables

toxSummary

Visualize Nonclinical Toxicity Findings