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2:09:11
Unlocking Analysis Results Datasets: A Practical Workshop for Creating and Utilizing ARDs
2:24:28
Reproducible and scalable reporting using RMarkdown & heddlr
2:00:40
Knowledge Graphs for Drug Discovery
1:53:51
{shinylive}: Serverless Shiny applications workshop
2:17:05
No code data analysis with blockr
1:36:26
SDTM programming in R using {sdtm.oak} package
1:42:12
Shiny application development and validation with {rhino}
2:48:34
Good Software Engineering Practices for R Packages
1:46:14
The Near-Future of Regulatory Submissions: Embracing Reproducibility, Open-Source, and Interactivity
1:31:19
Parameterised Plots and Reports in R with Quarto
2:25:45
Building ADaMS with pharmaverse R packages admiral, metacore/metatools and xportr
2:18:00
Selected examples on how to scale-up computations in R (by using HPC)
1:55:27
R Validation Hub Risk Tools Developer Day
1:47:09
Bayesian Dose-Response Modeling with the {dreamer} R package
1:40:45
Tables in Python with Great Tables
0:09:23
Daniel Sabanes Bove - Closing Remarks
0:08:32
Samrit Pramanik - PCA in R: A CAMIS Working Group Initiative in Pharma
0:12:05
Chengcheng Liu - The R Shiny App TNfinder for tumor-normal expression analysis
0:19:41
Daniel Sabanes Bove - R(omeo) and Julia - A Love Story by openstatsware
0:13:08
Henri Defretin - Creating a Doctor Network using R and Graph Databases
0:23:38
Jade Lee - The use case of Copilot into open-source programming
0:18:43
Masahiko Takemura, Kensuke Sasaki - Building a reproducible workflow using {targets}
0:18:55
Vedha Viyash - Breaking down cognitive barriers for new members to your project and your future self
0:09:36
Daniel Sebanes Bove - Introducing openstatsware: Who we are and what we build together
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