pdf summary (#159)

Author: gravesti

slides/efspi-leaders-feb2025.qmd

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+---
+format:
+  pdf:
+    toc: false
+    toc-depth: 1
+    number-sections: false
+    colorlinks: true
+    papersize: a4
+    geometry:
+      - top=35mm
+      - left=25mm
+      - right=25mm
+      - heightrounded
+    include-in-header: 
+      text: |
+        \usepackage{scrlayer-scrpage}
+        \renewcommand{\titlepagestyle}{scrheadings}
+        \rohead{\includegraphics[height=2cm]{../sticker/openstatsware-hex-300.png}}
+        \raggedright
+    include-before-body:
+      text: |
+        \title{\vspace{-2.5cm}openstatsware}
+        \subtitle{Who we are and what we build together}
+execute:
+  echo: false
+  include: false
+---
+
+
+<!-- title: openstatsware -->
+<!-- subtitle: "Who we are and what we build together" -->
+
+```{=latex}
+\maketitle
+\vspace{-2.5cm}
+```
+
+# Introducing openstatsware
+
+## Background
+
+```{r calc-stats}
+library(readr)
+library(dplyr)
+members <- read_csv("../data/members.csv") |> filter(SWE_WG_Member == 1)
+n_members <- nrow(members)
+unique_orgs <- members |> pull("Affiliation") |> unique() |> sort()
+```
+
+
+-   Formed on 19 August 2022
+-   Official working group of the [American Statistical Association (ASA) Biopharmaceutical section (BIOP)](https://community.amstat.org/biop/home)
+-   Special Interest Group (SIG) of the [European Federation of Statisticians in the Pharmaceutical Industry (EFSPI)](https://www.efspi.org/).
+-   Cross-industry collaboration (`r n_members` members from `r length(unique_orgs)` organizations)
+-   Homepage: [openstatsware.org](https://www.openstatsware.org/)
+-   We welcome new members to join!
+
+
+## Motivation
+
+-   Open-source software increasingly popular in Biostatistics
+    -   Rapid uptake of novel statistical methods
+    -   Unprecedented opportunities for collaboration
+    -   Transparency of methods and implementation
+-   Variability in software quality
+    -   No statistical quality assurance on open-source extension package repositories, e.g. CRAN
+    -   No industry standard for assessing quality of R packages
+-   **Reliable software for core statistical analyses is paramount**
+
+
+# Our work
+
+## Objectives
+
+-   **Engineer selected packages** to fill in gaps in the open-source statistical software landscape, and to promote software tools designed by the working group through publications, conference presentations, workshops, and training courses.
+
+-   **Develop good SWE practices** for engineering high-quality statistical software and promote their use in the broader Biostatistics community via public training materials.
+
+-   **Communicate and collaborate** with other R software initiatives including via the [R Consortium](https://www.r-consortium.org/).
+
+We complement the various other R and open source initiatives and statistics SIGs as a bridge between statistical methodology and software.
+Other groups that we have connections to are Pharmaverse, R Submission Working Group, R Repository Working Group, PSI AIMS, CAMIS, and R Validation Hub.
+
+## Workstreams in Package Development
+
+Members from different companies have collaborated on a number of statistical software projects:
+
+-   Mixed Models for Repeated Measures (MMRM)
+    -   Developed the [`mmrm`](https://cran.r-project.org/package=mmrm) R package for frequentist inference in MMRM
+-   Bayesian MMRM
+    -   Developed the [`brms.mmrm`](https://cran.r-project.org/package=brms.mmrm) R package for Bayesian inference in MMRM
+-   Health Technology Assessment (HTA)
+    -   Developed the [`maicplus`](https://hta-pharma.github.io/maicplus/) R package for matching-adjusted indirect comparison (MAIC)
+-   Bayesian Safety Signal Detection
+    -   Developed the [`SafetySignalDetection.jl`](https://openpharma.github.io/SafetySignalDetection.jl/) Julia package
+
+## Best Practices Dissemination
+
+Our members are widely engaged with teaching and outreach to encourage best practice in statistical software development.
+
+### Workshops
+
+-   Workshop "Good Software Engineering Practice for R Packages" on world tour
+-   To teach hands-on skills and tools to engineer reliable R packages
+    -   Topics: R package structure, engineering workflow, ensuring quality, version control, collaboration and publication, and shiny development
+-   5 events in 2023 in Basel, Shanghai, San José, Rockville, and Montreal
+-   4 events in 2024 in Zurich, Salzburg, Beijing, and [online at R/Pharma APAC](https://openpharma.github.io/workshop-r-swe-rinpharma-2024/)
+
+### openstatsguide
+
+-   [Found online here](https://openstatsware.org/guide.html)
+-   Small and concise set of recommendations for package developers
+-   Opinionated, but aims to be based on experienced majority opinions
+-   Focus are developers, while users might find complementary "validation" frameworks valuable
+-   Primarily for statistical packages (not plotting, data wrangling, etc.)
+-   Generic principles which can be used across functional data science languages R, Python, and Julia
+-   Concrete tools are mentioned as examples
+
+
+
+
+<!-- Photo by Vie Studio [link](https://www.pexels.com/photo/thank-you-lettering-on-white-surface-4439457/) -->