Signal Analysis in Pharmacovigilance
eBook - ePub

Signal Analysis in Pharmacovigilance

Principles and Processes

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Signal Analysis in Pharmacovigilance

Principles and Processes

About this book

This book provides detailed concepts and information on principles and processes of signal analysis in pharmacovigilance along with case studies. It covers the fundamental concepts and principles of pharmacovigilance, emphasizing the need for robust signal detection and analysis methods. The book reviews the diverse array of databases and tools employed for signal detection, including electronic health records (EHRs), social media mining, claims data, and distributed data networks. In turn, the book discusses the application of molecular dynamics, molecular docking, and the use of the FDA Adverse Event Reporting System (FAERS) database in signal analysis.

Toward the end, the book explores the identification, validation, and assessment of signals associated with vaccines. This book is useful for graduate, post-graduate students of pharmaceutical sciences, and scientists in pharmacology research and drug development.

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Yes, you can access Signal Analysis in Pharmacovigilance by Anoop Kumar in PDF and/or ePUB format, as well as other popular books in Medicine & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
eBook ISBN
9781040112670
Edition
1
Topic
Medicine
Subtopic
Biotechnology

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Editor
  7. Contributors
  8. Chapter 1 Introduction to Pharmacovigilance: Ensuring Patient Safety
  9. Chapter 2 Drug Safety Signal Detection and Management in Pharmacovigilance
  10. Chapter 3 Databases and Tools for Signal Detection of Drugs in Post-Marketing Surveillance
  11. Chapter 4 Role of Electronic Medical Records, Insurance Claims Data, Distributed Data Networks and Social Media in Signal Analysis
  12. Chapter 5 Uncovering False Alarms: Examining Biases and Confounders in Disproportionality Analysis
  13. Chapter 6 Role of Medical Coding in Signal Detection
  14. Chapter 7 Regulatory Aspects in Signal Detection and Assessment
  15. Chapter 8 Disproportionality Methods for Signal Detection in Pharmacovigilance
  16. Chapter 9 Bayesian Methods of Signal Detection
  17. Chapter 10 Subgroup and Sensitivity Analysis
  18. Chapter 11 Causality Assessment of ICSRs
  19. Chapter 12 Signal Analysis of Drug–Drug Interactions Using Spontaneous Reporting Method
  20. Chapter 13 Use of Network Pharmacological Approaches in Signal Analysis
  21. Chapter 14 Docking Studies in Signal Analysis: An Overview
  22. Chapter 15 Molecular Dynamics Simulations in Signal Validation
  23. Chapter 16 Identification and Validation of Novel Signals of Drugs Using the FAERS Database: A Case Study
  24. Chapter 17 Molecular Docking and Molecular Dynamics in Signal Analysis: A Case Study
  25. Chapter 18 Available Databases and Tools for Signal Detection of Vaccines
  26. Chapter 19 Identification and Validation of Signals Associated with Vaccines
  27. Chapter 20 Neurological and Behaviour Alterations with COVID-19 Vaccines Using the Vaccine Adverse Event Reporting System (VAERS): A Retrospective Study
  28. Chapter 21 Pharmacovigilance-Based Drug Repurposing via Inverse Signals
  29. Chapter 22 Prospective Role of Preclinical Experimentation in Validating Safety Signals
  30. Chapter 23 Role of Artificial Intelligence in Signal Detection
  31. Index