本の詳細
形式
ペーパーバック
ページ数
378
言語
英語
公開されました
Dec 18, 2020
出版社
Routledge
版
2
ISBN-10
0367736217
ISBN-13
9780367736217
説明
This book serves as a comprehensive resource for understanding the intricacies of clinical trial data analysis through the powerful tools of R and SAS. It meticulously guides readers through various methodologies and statistical techniques essential for analyzing clinical data, highlighting the strengths of each software in the context of biostatistics. With clear explanations and practical examples, the authors aim to bridge the gap between theoretical knowledge and real-world application, making it accessible for both novice and experienced statisticians.
The authors bring their extensive expertise in biostatistics and clinical research to the forefront, offering insights into best practices and common challenges faced in the field. Each chapter is designed to build upon the previous one, allowing for a gradual and thorough understanding of complex topics, while also emphasizing the importance of accurate data interpretation in the quest to improve patient outcomes. As such, this book is an essential tool for anyone involved in clinical trial research and data analysis.
The authors bring their extensive expertise in biostatistics and clinical research to the forefront, offering insights into best practices and common challenges faced in the field. Each chapter is designed to build upon the previous one, allowing for a gradual and thorough understanding of complex topics, while also emphasizing the importance of accurate data interpretation in the quest to improve patient outcomes. As such, this book is an essential tool for anyone involved in clinical trial research and data analysis.