- Introducing
openstatsware: Who we are and what we build together. R/Pharma APAC Conference, 31 Oct 2024.
brms.mmrm: an R package for Bayesian MMRMs. Bayesian Biostatistics Conference, 24 October 2024.
{mmrm}: A Robust and Comprehensive R Package for Implementing Mixed Models for Repeated Measures. useR! 2024, 9 Jul 2024.
- Introducing
openstatsware: Who we are and what we build together. ASA BIOP DL Webinar, 23 Feb 2024.
- {mmrm}: an Open Source R Package for Mixed Model Repeated Measures. China-R Conference, 28 Nov 2023.
- Introducing
openstatsware and the R Package {mmrm}. Lightning Session at ASA SSC Mini-Symposium, 04 Nov 2023.
- Introducing
openstatsware and the R Package {mmrm}. R/Pharma Conference, 24 Oct 2023.
- First year of the Software Engineering working group. Regulatory-Industry Statistics Workshop 2023, 29 Sep 2023.
- {mmrm}: A Robust and Comprehensive R Package for Implementing Mixed Models for Repeated Measures. JSM, 8 Aug 2023.
- Introduction to the ASA BIOP Software Engineering Working Group and the {mmrm} Package. R Meetup, 21 Jul 2023.
- Workshop on Good Software Engineering Practice for R. San Francisco bay area, 20 Jul 2023.
- Plugging the gaps: Lessons learned from implementing the mmrm R package. PSI, 13 Jun 2023.
- {mmrm}: an Open Source R Package for Mixed Model Repeated Measures. Pharma RUG, 31 Mar 2023.
- Workshop on Good Software Engineering Practice for R. Shanghai, 24 Mar 2023.
- Workshop on Good Software Engineering Practice for R. BBS workshop, Basel, 10 Feb 2023.
- Introducing the Software Engineering working group and {mmrm}. R/Adoption Series Webinar, 26 Jan 2023.
- Introducing the Software Engineering working group: Who we are and what we build together. R Govys Meetup, 19 Jan 2023.
- Statistical software for continuous longitudinal endpoints: Introducing the R package
mmrm. Joint EFSPI & BBS virtual event - Addressing intercurrent events: Treatment policy and hypothetical strategies (day 1), 8 Dec 2022.
- Statistical Software Engineering 101. Video blog series on ASA BIOP Youtube channel.
- Unit Testing for R Developers