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Mastering Oncology Efficacy Analysis: Essential SAS Techniques and Statistical Methods: Practical Applications for Effic, (Paperback)

Mastering Oncology Efficacy Analysis: Essential SAS Techniques and Statistical Methods: Practical Applications for Effic, (Paperback)


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Management number 251660204 Release Date 2026/09/26 List Price US$6.80 Model Number 251660204
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<p>Mastering Oncology Efficacy Analysis: Essential SAS Techniques and Statistical Methods</p><p>By Shivaravindra</p><p>Unlock the tools and insights needed to excel in oncology clinical trial programming.</p><p>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.</p><p>Inside, you'll find: </p><p>A deep dive into survival analysis, including Kaplan-Meier estimates, Cox regression, and censoring logic</p><p>Step-by-step development of ADaM datasets aligned with CDISC standards</p><p>Programming and interpretation of critical oncology outputs: waterfall plots, forest plots, and spaghetti plots</p><p>Clear explanation of oncology-specific endpoints, RECIST guidelines, and statistical analysis plans (SAPs)</p><p>Sample SAS code, annotated examples, and visualization techniques</p><p>Practical tips for collaboration with statisticians and understanding inferential outputs</p><p>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.</p><p>Perfect for: </p><p>Clinical SAS Programmers - Statistical Analysts - Biostatistics Students - Oncology Data Managers</p>

  • Mastering Oncology Efficacy Analysis: Essential SAS Techniques and Statistical Methods: Practical Applications for Effic, (Paperback)
  • Author: Notion Press
  • ISBN: 9798899610295
  • Format: Paperback
  • Publication Date: 2025-05-26
  • Page Count: 70
Book format Paperback
Fiction/nonfiction Non-Fiction
Genre Textbooks
Publication date May, 2025
Pages 70
Subgenre Computers & Technology
Series title No Series
Number in series 0
Edition 1
Publisher Notion Press Media Pvt. Ltd
Language English
Edu focus Technology
Educational level General
Is collectible N
Recording time 0 min
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 8.50 x 0.19 x 11.00 in
Assembled product weight 0.53 lb
Bisac subject heading Education

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