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---
title: "Flavors of the pharmaverse"
subtitle: "Workshop@[`posit::conf(2024)`](https://posit.co/conference/)"
engine: knitr
editor:
markdown:
wrap: 72
---
------------------------------------------------------------------------
🗓️ August 12, 2024 \| 09:00 - 17:00 PST
🏨 Hyatt Regency Seattle, Room TBA
📝 [Workshop Registration](http://pos.it/conf)
------------------------------------------------------------------------
## Description
Over the past 4 years, the pharmaverse was created and has blossomed
into a booming community of organizations and package developers aimed
at supporting R development with focus on the clinical reporting
pipeline. Even within a world as standardized as regulatory submissions,
organizations still tend to have sometimes vastly different requirements
within their own processes.
In this workshop, we’ll give a high level overview of the scope and
tools available within the pharmaverse for the clinical pipeline,
including tools for ADaM data set curation, creating Analysis Results
Data Sets, and TLGs. To help attendees understand how there are
different paradigms and pathways through the pharmaverse, we’ll take a
tour through two to three different strategies available to support
table, listing, and figure creation. Attendees of this workshop will
walk away with an understanding of how the pharmaverse can help their
organization and where they can look to learn more about the right tools
to support their needs.
## Schedule
```{r}
#| echo: false
tibble::tribble(
~time, ~desc,
"09:00 - 10:30", "Welcome
<br><br>
[{admiral} and {xportr}](https://github.com/posit-conf-2024/pharmaverse/blob/main/materials/1-admiral-xportr/admiral_and_xportr_slides.pptx)",
"10:30 - 11:00", "*Coffee Break*",
"11:00 - 12:30", "[Introduction to tables](https://docs.google.com/presentation/d/1LLcsh02_6imhvLrvnvRmSV2MFijYmavg0MRh3eRMKMQ/pub?start=false&loop=false&delayms=60000)
<br><br>
[Analysis Result Datasets](https://github.com/posit-conf-2024/pharmaverse/blob/main/materials/2-ARDs/ARDs_slides.pptx)",
"12:30 - 13:30", "*Lunch*",
"13:30 - 15:00", "[{tfrmt}](https://github.com/posit-conf-2024/pharmaverse/blob/main/materials/3-Tables/Tables-tfrmt_slides.pptx)
<br><br>
[Create Tables with {gtsummary}](https://posit-conf-2024.github.io/pharmaverse/slides-gtsummary)",
"15:00 - 15:30", "*Coffee Break*",
"15:30 - 17:00", "[Recap, Discussion, and Read Out](https://github.com/posit-conf-2024/pharmaverse/blob/main/materials/4-Recap_Pharmaverse_Workshop/Contributing_to_the_Pharmaverse_and_Recap.pptx)",
) |>
gt::gt() |>
gt::cols_align(align = "left") |>
gt::tab_style(
style = "vertical-align:top",
locations = gt::cells_body(columns = gt::everything())
) |>
gt::cols_label(time = gt::md("**Time**"), desc = gt::md("**Activity**")) |>
gt::fmt_markdown()
```
## Pre-work
- [ ] Bookmark this site. You'll reference it throughout the workshop. [pos.it/pharmaverse_24](https://posit-conf-2024.github.io/pharmaverse/)
- [ ] Sign up for a *free* [Posit Cloud](https://posit.cloud/) account.
- [ ] Bring your laptop **and** charger to the workshop.
## Instructors
{style="float:left;padding: 0 10px 0 0;"
fig-alt="Headshot of Daniel Sjoberg" width="150"}
[**Daniel D. Sjoberg**](https://www.danieldsjoberg.com/) (he/him) is a
Senior Principal Data Scientist at Genentech. Previously, he was a Lead
Data Science Manager at the Prostate Cancer Clinical Trials Consortium,
and a Senior Biostatistician at Memorial Sloan Kettering Cancer Center
in New York City. He enjoys R package development, creating many
packages available on [CRAN](https://cran.r-project.org/web/packages/),
[R-Universe](https://ddsjoberg.r-universe.dev/ui#packages), and
[GitHub](https://github.com/ddsjoberg). He's a co-organizer of
[rainbowR](https://rainbowr.netlify.app/) (a community that supports, promotes
and connects LGBTQ+ people who code in the R language) and of the [R Medicine Conference](https://rconsortium.github.io/RMedicine_website/).
His research interests include
adaptive methods in clinical trials, precision medicine, and predictive
modeling. Daniel is the winner of the 2021 American Statistical
Association (ASA) Innovation in Statistical Programming and Analytics
award.
[`r fontawesome::fa("link", fill = "#606060")`](https://www.danieldsjoberg.com/)
[`r fontawesome::fa("mastodon", fill = "#606060")`](https://mastodon.social/@ddsjoberg)
[`r fontawesome::fa("linkedin", fill = "#606060")`](https://www.linkedin.com/in/ddsjoberg/)
[`r fontawesome::fa("github", fill = "#606060")`](https://github.com/ddsjoberg/)
{style="float:left;padding: 0 20px 0 20px;"
fig-alt="Headshot of Becca Krouse" width="140"}
**Becca Krouse** is a data scientist in GSK's Statistics and Data
Science Innovation Hub. A biostatistician by training, she has
experience spanning 13+ years in the field of clinical research and
specializes in developing R-based tools.
<br>
{style="float:left;padding: 0 20px 0 20px;"
fig-alt="Headshot of Ellis Hughes" width="140"}
**Ellis Hughes** is a Data Science Leader and has worked in the
pharmaceutical industry for almost a decade. He focuses on how
organizations can use R and take open source approaches to improve
processes and solve problems. During his free time he organizes the
Seattle UseR group, the Cascadia R Conference, and hosts a weekly R
screencast, TidyX, to explain data science concepts.
{style="float:left;padding: 0 20px 0 20px;"
fig-alt="Headshot of Andrew Bates" width="140"}
**Andrew Bates** Andrew is a Data Solutions Engineer at Atorus Research where
he builds tools that enable people to solve their data problems.
He specializes in R and its intersection with web technologies.
**Casey Aguilar-Gervase** is a Senior Data Visualization Engineer at Atorus.
Casey enjoys combining the art of design with clinical programming in R to
create innovative Shiny applications. With a strong background in both
disciplines, Casey is passionate about pushing the boundaries of Shiny to
develop user-friendly, data-driven solutions that meet technical requirements
and provide an exceptional user experience.