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Jim Box

30 papers and 7 presentations; 37 titles; 13 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
WUSS 2026 An Introduction to JSON [presentation] source 35
WUSS 2026 Introducing PROC R source 8
PharmaSUG 2026 Modernizing Clinical Research Analytics with Cloud-Optimized SAS Procedures Mary Dolegowski source 5
SAS Innovate 2026 Introducing PROC R [presentation] source
youtube
PHUSE EU 2025 A New Gateway to Open Source in SAS source
presentation source
7
WUSS 2025 Enhance your Coding Experience with the SAS Extension for VS Code source 11
WUSS 2025 How did that Python code get in my SAS program? source 7
WUSS 2025 Share your Macros and Programs via a SAS Studio GUI Interface source 10
PharmaSUG 2025 A New Gateway to Open Source in SAS Viya Mary Dolegowski source 7
PharmaSUG 2025 Enhance your Coding Experience with the SAS Extension for VS Code source 10
PharmaSUG 2025 Python with Hermione: Unleash Your Inner Coding Witch & Dragon Charu Shankar source 20
PharmaSUG 2025 Share your Macros and Programs with SAS Studio Steps and Flows Pritesh Desai source 9
PharmaSUG 2024 Developing Web Apps in SAS Visual Analytics Samiul Haque source 9
PharmaSUG 2024 R Shiny and SAS Integration: Execute SAS Procs from Shiny Application Samiul Haque source 6
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices source 13
PharmaSUG 2023 Running Python Code inside a SAS Program source 9
PharmaSUG 2023 What is Machine Learning, anyway? source 11
PHUSE EU 2022 SAS and Python Working Together [presentation] source 18
PHUSE EU 2022 Statistical Methods for Finding Human Bias in Machine Learning Models [presentation] source 19
SAS Explore 2022 Using Simulation to Plan and Rescue Clinical Trial Enrollment [video] source
WUSS 2022 Learn the Basics About the Pharmaceutical Industry in 20 Minutes Matthew J. Becker source 3
WUSS 2022 Quick Jumpstart into Pharmaceutical SAS Programming Matthew J. Becker source 7
WUSS 2022 SAS and Open Source Playing Nicely Together Samiul Haque source 9
WUSS 2022 Story telling with SAS Visual Statistics Laura Watson source 8
WUSS 2022 What's your model really doing? Understanding human biases in Machine Learning. source 5
PharmaSUG 2022 What-s your model really doing? Human bias in Machine Learning source 4
PHUSE US 2022 Bias in Machine Learning: Your Responsibilities as a Programmer [presentation] source 34
SGF 2020 Human Bias in Machine Learning: How Well Do You Really Know Your Model? source 14
PHUSE EU 2019 Do You Know What Your Model is Doing? A Look at How Human Bias Influences Machine Learning Elena Snavely source
presentation source
3
PHUSE EU 2019 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application [presentation] source 24
SGF 2019 Time Travel into the Future of Clinical Trial Enrollment Design Bahar Biller,
Anup Mokashi,
Ivan Oliveira,
Sharmin Pathan,
Jinxin Yi
source 17
PHUSE EU 2018 Simulating Enrolment Plans source
presentation source
6
PharmaSUG 2018 Build Models without Code with the new SAS Visual Interface source 12
PharmaSUG 2018 Using Simulation to Create Enrollment Plans source 7
PharmaSUG CN 2017 SAS Studio - The Next Evolution of SAS Programming Environments Matthew J. Becker 9
PharmaSUG 2017 SAS Studio: We Program source 9
PharmaSUG 2004 Backups at the Click of the Mouse Joey Morris 5

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