"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Mastering Oncology Efficacy Analysis: Essential SAS Techniques and Statistical Methods
By Shivaravindra
Unlock the tools and insights needed to excel in oncology clinical trial programming.
This comprehensive guide bridges the gap between statistical theory and practical SAS programming in the complex field of oncology. Designed for both emerging and experienced clinical programmers, this book walks you through real-world scenarios of efficacy analysis, dataset creation, and visual reporting using industry-standard techniques.
Inside, you’ll find:
A deep dive into survival analysis, including Kaplan-Meier estimates, Cox regression, and censoring logic
Step-by-step development of ADaM datasets aligned with CDISC standards
Programming and interpretation of critical oncology outputs: waterfall plots, forest plots, and spaghetti plots
Clear explanation of oncology-specific endpoints, RECIST guidelines, and statistical analysis plans (SAPs)
Sample SAS code, annotated examples, and visualization techniques
Practical tips for collaboration with statisticians and understanding inferential outputs
Whether you're preparing for your next oncology project, building end-to-end deliverables, or mastering survival methodology, this book is your essential resource for delivering accurate and meaningful clinical analyses with confidence.
Perfect for:
Clinical SAS Programmers · Statistical Analysts · Biostatistics Students · Oncology Data Managers
Write your review for this book (optional)
Review Deleted
Your review has been deleted and won’t appear on the book anymore.
Shiva Ravindra
Shivaravindra is a highly experienced 20+ years Clinical SAS Programmer with a specialized focus in oncology clinical trials. With over a decade of hands-on expertise in statistical programming, he has worked extensively on global studies involving survival analysis, efficacy endpoints, and regulatory deliverables. His work spans across ADaM dataset creation, advanced statistical reporting, and validation of complex outputs.
Beyond his professional contributions, Shivaravindra is a dedicated educator and mentor in the clinical research programming community. He is the creator of the popular YouTube channel Advanced SAS Interview Topics, where he shares real-time project tutorials, mock interview guidance, and end-to-end case studies that have helped thousands of programmers build their careers.
Known for his ability to simplify technical concepts, Shivaravindra’s mission is to empower SAS programmers to understand not just how to code, but why behind every step of statistical analysis.
When he's not coding or teaching, he enjoys continuous learning and contributing to professional development across the clinical research field.
