1.1 Wednesday

This is the shortened schedule, please go to the Full Schedule for more detailed information.

When What Slides
07:30 - 09:15 Registration
08:00 - 09:00 Keeping things Peachy when Shiny gets Hairy (Workshop)
08:00 - 09:00 Analyzing Clinical Trials Data with R (Workshop)
08:00 - 09:00 Stan for Pharma (Workshop)
08:00 - 09:00 Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment (Workshop)
09:15 - 09:25 Opening Remarks
09:25 - 10:10 Modernizing the new drug regulatory program in FDA/CDER: Can Collaborations and Sharing Help?
10:10 - 10:30 Using R in a regulatory environment: some FDA perspectives
10:30 - 10:40 Using R in a GxP Environment
10:40 - 10:50 IDBac: A New Paradigm in Developing Microbial Libraries for Drug Discovery https://github.com/chasemc/presentations/blob/master/RinPharma_Aug_2018/rPharma_Chase.pdf
10:50 - 11:10 Break
11:10 - 11:30 The largest Shiny application in the world. Roche.Diagnostics.bioWARP
11:30 - 11:40 R reproducibility by containers and cloud
11:40 - 11:50 Multi-state Model for the Analysis of an Association between Safety and Efficacy Events
12:10 - 13:30 Lunch
13:30 - 13:40 Becoming bilingual in SAS and R
13:40 - 13:50 Visualization methods for RNA-sequencing data analysis
13:50 - 14:00 The Use of R in the Development of Physiological Model for Healthy Growth
14:00 - 14:10 Antibody Characterization Using Next Generation Sequencing made easier with Group My Abs shiny app.
14:10 - 14:20 Managing R and Associated Tools in Large Environments - an R-Admin’s Perspective
14:20 - 14:50 Break
14:50 - 15:35 Modeling in the tidyverse http://appliedpredictivemodeling.com/blog/rpharma18
15:35 - 15:55 ShinyRAP - a framework for analysis and building interactive/dynamic reports using Shiny/Markdown
15:55 - 16:05 Data-Driven Strategies for Synthetic Route Design and Operational Modeling within Pharmaceutical Development
16:05 - 16:15 Evaluating the performance of advanced causal inference methods applied to healthcare claims data
16:15 - 16:25 Optimization of raw materials genealogy in drug manufacturing with R, Shiny and d3 https://github.com/tcash21/talks/blob/master/TCB%20Analytics%20-%20RPharma%202018.pdf
16:25 - 16:35 REAP - R-Shiny Exploratory Analysis Platform in Clinical Pharmacology
16:35 - 16:45 rOpenSci - enabling open and reproducible research https://github.com/ropensci/talks/tree/master/rpharma-2018
17:05 - 17:25 Beyond Simple Reproducibility - Discoverability, Provenance, and Improving the Impact of Results
18:00 - 19:30 Reception