Yixin Fang

Causal Inference in Pharmaceutical Statistics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 256
• Erscheinungstermin: 24. Juni 2024
• Englisch
• ISBN-13: 9781040039717
• Artikelnr.: 70497146

Autorenporträt

Yixin Fang, Ph.D. is Director of Statistics and Research Fellow at AbbVie Inc. He obtained his Ph.D. in Statistics from Columbia University and is an experienced statistician and data scientist who has a history of working in both the biopharmaceutical industry and academia.

Inhaltsangabe

Preface
1. Introduction
2. Randomized Controlled Clinical Trials
3. Missing Data Handling
4. Intercurrent Events Handling
5. Longitudinal Studies
6. Real-World Evidence Studies
7. The Art of Estimation (I): M-estimation
8. The Art of Estimation (II): TMLE
9. The Art of Estimation (III): LTMLE
10. Sensitivity Analysis
11. A Roadmap for Causal Inference
12. Applications of the Roadmap
Bibliography