Add talk for R/Pharma APAC track (#150)

presentations.qmd

@@ -1,13 +1,15 @@
 ---
 title: "Presentations"
 ---
+-   *Introducing `openstatsware`: Who we are and what we build together*. R/Pharma APAC Conference, 31 Oct 2024.
+    -   [slides](slides/rpharma-apac-2024.html)
 -   *`{mmrm}`: A Robust and Comprehensive R Package for Implementing Mixed Models for Repeated Measures*. useR! 2024, 9 Jul 2024.
     -   [slides](slides/user-2024-mmrm-jul2024.html)
 -   *Introducing `openstatsware`: Who we are and what we build together*. ASA BIOP DL Webinar, 23 Feb 2024.
     -   [slides](slides/asa-biop-webinar-feb2024-quarto.html)
 -   *{mmrm}: an Open Source R Package for Mixed Model Repeated Measures*. China-R Conference, 28 Nov 2023.
     -   [slides](slides/china-R-mmrm-nov2023.html)
--   *Introducing `openstatsware` and the R Package `{mmrm}`*. Lightning Session at ASA SSC Mini-Symposium  04 Nov 2023.
+-   *Introducing `openstatsware` and the R Package `{mmrm}`*. Lightning Session at ASA SSC Mini-Symposium, 04 Nov 2023.
     -   [slides](slides/asa-ssc-mmrm-nov2023.html)
 -   *Introducing `openstatsware` and the R Package `{mmrm}`*. R/Pharma Conference, 24 Oct 2023.
     -   [slides](slides/rpharma-wg-mmrm-oct2023-quarto.html)

slides/rpharma-apac-2024.qmd

@@ -0,0 +1,116 @@
+---
+title: "Introducing openstatsware"
+subtitle: "Who we are and what we build together"
+author: "Daniel Sabanés Bové on behalf of `openstatsware`"
+date: "2024/10/30"
+format: 
+  revealjs:
+    incremental: true
+    logo: https://github.com/RConsortium/asa-biop-swe-wg/raw/main/sticker/openstatsware-hex-1200.png
+    slide-number: c/t
+    toc: true
+    toc-depth: 1
+    fontsize: 32px
+---
+
+```{r setup}
+#| include: false
+#| echo: false
+```
+
+# Introducing openstatsware
+
+## openstatsware
+
+```{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()
+```
+
+::: columns
+::: {.column width="70%"}
+-   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!
+:::
+
+::: {.column width="30%"}
+![](../sticker/openstatsware-hex-1200.png){height="300"}
+:::
+:::
+
+## 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
+
+## openstatsware 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/). 
+
+
+## Workstreams in Package Development
+
+-   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 - Workshop
+
+-   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 this Monday [online at R/Pharma APAC](https://openpharma.github.io/workshop-r-swe-rinpharma-2024/)!
+
+## Best Practices Dissemination - openstatsguide
+
+- 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 
+
+## {background-iframe="https://openstatsware.org/guide.html"}
+
+# Outlook
+
+## Long Term Perspective
+
+-   Software engineering is a critical competence in producing high-quality statistical software
+-   A lot of work needs to be done regarding the establishment, dissemination and adoption of best practices for engineering open-source software
+-   Improving the way software engineering is done will help improve the efficiency, reliability and innovation within Biostatistics
+
+## Next Steps
+
+-   Join the Effective Statistician conference invited session organized by `openstatsware`
+-   We will relaunch the CRAN Task View on Clinical Trials
+-   We are considering to write a Shiny app development guide
+
+## Q&A {background-image="thank-you.jpg"}
+
+<!-- Photo by Vie Studio [link](https://www.pexels.com/photo/thank-you-lettering-on-white-surface-4439457/) -->