Collection of slide sets, resources and references

• SDSS 2023: A semi-automatic machine learning pipeline for identification of prognostic and predictive factors in cancer trial data. May 23-26, 2023.
• R/Adoption Series: Learnings and Reflection from R Validation Case Studies (On behalf of the R validation hub). March 30, 2023. https://www.r-consortium.org/r-adoption-series-learnings-and-reflection-from-r-validation-case-studies

• useR! Learnings and Reflection on the Implementation of Risk-based Package Assessment (On behalf of the R validation hub).

• R/Pharma 2021: Risk-based Assessment of R Packages at Merck KGaA/ EMD Serono, Nov 2-4, 2021
• R/Pharma Workshop: Building Tidy Rpackages (in collaboration with Leigh Alexander), October 27, 2021. https://github.com/jmanitz/Rpharma2021_pkg-dev
• rOpenSci Community Call: Expanding Software Peer Review: Statistical Package Standards at rOpenSci (On behalf of the R validation hub). https://ropensci.org/commcalls/oct2021-statsreview02/
• ASA BIOP 2021. Estimands for Overall Survival with Treatment Switching, September 21-24, 2021.
• SCT 2021. How the estimand addendum to the ICH E9 guideline helps structure clinical objectives, analyses, and conclusions. May 17-21, 2021.

• GMDS & CEN-IBS 2020. Estimands for Overall Survival with Treatment Switching September 6-11, 2020.
• useR! 2020 A risk-based Assessment for R Package Accuracy. On behalf of the R validation hub. https://www.youtube.com/watch?v=WUVUjdqifJ8
• Immuno-Oncology 360°. Association between response assessment using RECIST and irRECIST in 1765 patients with advanced solid tumors treated with avelumab monotherapy February 26-28, 2020. New York City, NY, USA.

• R/Pharma 2019. Optimize Installation Routines for R Package Dependencies. August 21-23, 2019.
• R Ladies Boston. Introduction to Building R Packages. January 30, 2019.

• R/Pharma 2018. Multi-state Model for the Analysis of an Association between Safety and Efficacy Events Using R. August 15-16, 2018, Cambridge, MA USA.
• 64th Biometrical Colloquium: Multi-state Model for the Analysis of an Association between Safety and Efficacy Events. March 26, 2018, Frankfurt, Germany.