Yixin Fang

Causal Inference in Pharmaceutical Statistics (eBook, PDF)

• Format: PDF

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: 246
• Erscheinungstermin: 24. Juni 2024
• Englisch
• ISBN-13: 9781040039670
• Artikelnr.: 70502781

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