Causal Inference in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
by: Yixin Fang (Author)
Publisher:Chapman and Hall/CRC
Edition:1st
Publication Date: 24 Jun. 2024
Language:English
Print Length:232 pages
ISBN-10:1032560142
ISBN-13:9781032560144
Book Description
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in clinical studies. The book is intended for clinical statisticians and epidemiologists working in the pharmaceutical industry. It will also be useful to graduate students in statistics, biostatistics, and data science looking to pursue a career in the pharmaceutical industry.
Key Features:Causal inference book for clinical statisticians in the pharmaceutical industryIntroductory level on the most important concepts and methodsAlign with FDA and ICH guidance documentsAcross different stages of clinical studies: plan, design, conduct, analysis, and interpretationCover a variety of commonly used study designs
About the Author
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