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updates to featured, tlgs, community, and following
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A curated list of R for clinical study reporting docs, talks, tools, examples & articles. Inspired by [Yilong Zhang's Post](https://www.linkedin.com/posts/yilongzhang_creating-a-validated-environment-for-reproducibility-activity-7044529198165594112-DGf4/) and [R for Clinical Study Reporting](https://github.com/elong0527/r4csr/issues/101) by Yilong Zhang, Nan Xiao, Keaven Anderson, and Yalin Zhu.
A curated list of R for end-to-end clinical study reporting docs, talks, tools, examples & articles. Inspired by [Yilong Zhang's Post](https://www.linkedin.com/posts/yilongzhang_creating-a-validated-environment-for-reproducibility-activity-7044529198165594112-DGf4/) and [R for Clinical Study Reporting](https://github.com/elong0527/r4csr/issues/101) by Yilong Zhang, Nan Xiao, Keaven Anderson, and Yalin Zhu.

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## Contents

- [Featured (new releases)](#featured-new-releases)
- [Analysis and reporting](#analysis-and-reporting)
- [Project management](#reporting-in-r-logi)
- [Support SDTM](#support-sdtm)
- [Generate TLG](#generate-tlg)
- [Reporting in R Logistics](#reporting-in-r-logistics)
- [Community](#community)
- [Follow](#follow)

<!-- CONTENT -->

**Legend**: 📝 PharmaSUG Reports · 💡 examples · 📖 docs · 🔌 libraries · 📦 packages · 📹 talks/video
**Legend**: 📝 Publications · 💡 examples · 📖 docs · 🔌 libraries · 📦 packages · 📹 talks/video

## Featured (new releases)

- 📖 [CAMIS: Comparing Analysis Method Implementations in Software](https://psiaims.github.io/CAMIS/)
- 📝 [Tplyr 1.2.1 release](https://www.atorusresearch.com/tplyr-1-2-1-release/)
- 📦 [{cards} construct CDISC analysis results dataset (ARD) objects](https://github.com/insightsengineering/cards)

## Support SDTM
- 📦 [{admiral} develop ADaM datasets in R](https://pharmaverse.github.io/admiral/)
- 📦 [{cards} construct CDISC analysis results dataset (ARD) objects](https://github.com/insightsengineering/cards)

## Analysis and reporting
## Generate TLG

- 📖 [R for Clinical Study Reports and Submission](https://r4csr.org/)
- 📝 [A&R with R in regulated trial environment](https://www.pharmasug.org/proceedings/2021/AD/PharmaSUG-2021-AD-079.pdf)
- 📹 [Posit Pharma Meetup: R for Clinical Study Reports & Submission with Yilong Zhang](<https://www.youtube.com/watch?v=RBVqKi3FV30>)
- 📦 [{redcapR} pull data from REDCap](https://ouhscbbmc.github.io/REDCapR/)
- 📦 [{admiral} develop ADaM datasets in R](https://pharmaverse.github.io/admiral/)
- 📦 [{xportr} create CDISC compliant xpt files](https://atorus-research.github.io/xportr/)
- 📦 [{r2rtf} production-ready tables and figures in RTF format](https://merck.github.io/r2rtf/)
### Tables

- 📦 [{falcon} standardized table creation functions](https://pharmaverse.github.io/falcon/)
- 📦 [{gtsummary} create publication-ready analytical and summary tables](https://www.danieldsjoberg.com/gtsummary/)
- 📦 [{gtreg} `gtsummary` for regulatory submissions](https://shannonpileggi.github.io/gtreg/)
- 📦 [{tfrmt} tabular structure from ARD](https://gsk-biostatistics.github.io/tfrmt/)
- 📦 [{Tplyr} simplify the creation and traceability of common clinical summaries](https://atorus-research.github.io/Tplyr/)
- 📦 [{vtree} display nested data](https://nbarrowman.github.io/vtree.html)

### Listings
- 📦 [{tidytlg} generate TLGs with `tidyverse` tools](https://github.com/pharmaverse/tidytlg)

### Graphs
- 📦 [{ggplot2} standardized plotting with grammar of graphics](https://github.com/tidyverse/ggplot2)
- 📦 [{ggsurvfit} `ggplot2` x survival analysis](https://github.com/pharmaverse/ggsurvfit)

## Reporting in R Logistics

### Learning

- 📹 [Posit Pharma Meetup: R for Clinical Study Reports & Submission with Yilong Zhang](<https://www.youtube.com/watch?v=RBVqKi3FV30>)
- 📖 [R for Clinical Study Reports and Submission](https://r4csr.org/)
- 📝 [A&R with R in regulated trial environment](https://www.pharmasug.org/proceedings/2021/AD/PharmaSUG-2021-AD-079.pdf)

### Data aquisition
- 📦 [{redcapR} pull data from REDCap](https://ouhscbbmc.github.io/REDCapR/)

### Project Management

- 📝 [Late stage clinical trial project management](https://www.pharmasug.org/proceedings/2021/SI/PharmaSUG-2021-SI-083.pdf)
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- 📝 [SDLC in regulated environments](https://www.lexjansen.com/phuse-us/2020/tt/TT12.pdf)
- 📝 [Specification development of R functions for standardization](https://www.pharmasug.org/proceedings/2021/SI/PharmaSUG-2021-SI-074.pdf)
- 📝 [Internal R package validation](https://www.pharmasug.org/proceedings/2021/SI/PharmaSUG-2021-SI-084.pdf)
- 📝 [External package qualification](https://www.pharmasug.org/proceedings/2022/SI/PharmaSUG-2022-SI-057.pdf)
- 📝 [External package qualification](https://www.pharmasug.org/proceedings/2022/SI/PharmaSUG-2022-SI-057.pdf)

### Export Reports
- 📦 [{xportr} create CDISC compliant xpt files](https://atorus-research.github.io/xportr/)
- 📦 [{r2rtf} production-ready tables and figures in RTF format](https://merck.github.io/r2rtf/)

## Community

- 📖 [pharmaverse](https://pharmaverse.org/)
- 📹 [R/Pharma conference](https://rinpharma.com/)
- 📹 [R/Medicine conference](https://events.linuxfoundation.org/r-medicine/)

<!-- END CONTENT -->

## Follow

<!-- list people worth following on social sites (Twitter, LinkedIn, GitHub, YouTube etc.) -->
- 📝 [atorus blog](https://www.atorusresearch.com/atorus-blog/)
- 📖 [ClinicalTrials CRAN Task View](https://github.com/cran-task-views/ClinicalTrials)

Who else should we be following!?

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