Hands On Clinical Reporting Using R
Master clinical data reporting with R using industry-standard packages for SDTM, ADaM, and regulatory submissions.
Master clinical data reporting with R using industry-standard packages for SDTM, ADaM, and regulatory submissions.
This intermediate course teaches practical applications of R in clinical data reporting, focusing on data flow from raw data to SDTM to ADaM to final outputs. Learn to use open-source tools and pharmaverse packages for efficient clinical trial data analysis and reporting.
Instructors:
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What you'll learn
Master SDTM and ADaM data transformation in R
Implement pharmaverse packages for clinical reporting
Create regulatory-compliant documentation
Develop static and interactive visualizations
Handle clinical trial data efficiently
Apply industry standard practices
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
20 assignments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This comprehensive course covers the entire clinical data reporting workflow using R. Students learn to handle data transformation from raw formats to SDTM and ADaM standards, create regulatory-compliant outputs, and utilize modern R packages from the pharmaverse ecosystem. The curriculum emphasizes practical, hands-on experience with real-world scenarios.
Hands On Clinical Reporting Using R
Module 1 · 42 Minutes to complete
Fundamentals
Module 2 · 1 Hours to complete
SDTM : Study Data Tabulation Model
Module 3 · 49 Minutes to complete
ADaM Transformations (Introductory)
Module 4 · 4 Hours to complete
ADaM Transformations (Advanced)
Module 5 · 6 Hours to complete
Static TLGs (NEST)
Module 6 · 3 Hours to complete
Interactive Data Displays
Module 7 · 2 Hours to complete
Conclusion
Module 8 · 2 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructors
Data Science and Clinical Reporting Expert at Genentech
Adrian Chan has established himself as a key contributor to Genentech's data science initiatives, particularly in clinical reporting and R programming. As an instructor for "Hands On Clinical Reporting Using R," he helps develop and deliver practical training in clinical data analysis and reporting methodologies. His work at Genentech, a pioneering biotechnology company with over 40 years of industry leadership, focuses on making complex clinical data analysis accessible and actionable. His expertise in R programming and clinical reporting contributes to Genentech's mission of advancing healthcare through data-driven insights. Through his teaching role, he helps bridge the gap between theoretical data science concepts and practical applications in clinical research and reporting.
Clinical Data Science Expert at Genentech
Joel Laxamana has established himself as a data science professional at Genentech, specializing in clinical reporting and R programming. As an instructor for the "Hands On Clinical Reporting Using R" course, he helps professionals develop practical skills in using open-source R packages for clinical data reporting tasks. His teaching focuses on the clinical data flow process, from raw data through SDTM and ADaM to final outputs. His expertise includes working with CDISC standards and implementing data science principles in clinical settings. At Genentech, he contributes to the industry's transition toward open-source tools in pharmaceutical research, helping bridge the gap between traditional clinical reporting methods and modern data science approaches.
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Frequently asked questions
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