BIBFRAME Work

Title

Causal inference in pharmaceutical statistics

Type

• Text
• Monograph

Contribution

• Fang, Yixin (Statistician) (author)

Subject

• Drugs--Testing--Statistical methods (LCSH)
• Clinical trials--Statistical methods (LCSH)

Language

• English

Classification

• DDC: 615.5/80724 (Assigner: dlc)
• LCC: RM301.27 (Assigner: dlc) (Status: used by assigner)

Content

• text

Supplementary content

• index
• bibliography

Summary

"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, single-arm 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 conclude 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"-- Provided by publisher.

Authorized Access Point

Fang, Yixin (Statistician). Causal inference in pharmaceutical statistics

Admin Metadata

• Date: 2026-09-11T20:18:14.446362+00:00
• Agent: cbc
• Status: c
• Derived from: 23617900

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc