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
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