Signal Analysis in Pharmacovigilance : Principles and Processes (Hardcover)

Chapter 1: Introduction to Pharmacovigilance: Ensuring Medication Safety.?Chapter 2: Drug Safety Signal Detection and management in Pharmacovigilance.Chapter 3: Databases and Tools for Signal Detection of Drugs in Post-Marketing Surveillance.Chapter 4: Role of Electronic medical records, Social Media, Claims data, distributed data networks in signal analysis.Chapter 5: Uncovering False Alarms: Examining Biases and Confounders in Disproportionality Analysis.Chapter 6: Role of Medical Coding in Signal Detection.?Chapter 7: Regulatory Aspects in Signal Detection and Assessment.?Chapter 8: Disproportionality Methods for Signal Detection in Pharmacovigilance.?Chapter 9: Bayesian methods of signal detection.?Chapter 10: Subgroup and sensitivity analysis.?Chapter 11: Causality Assessment of ICSRs.?Chapter 12: Signal Analysis of Drug-Drug Interaction Using Spontaneous Reporting Method.?Chapter 13: Use of network pharmacological approaches in signal analysis.?Chapter 14: Docking studies in signal analysis: An overview.?Chapter 15: Molecular Dynamics simulations in signal validation. Chapter 16: Identification and validation of novel signal of drugs using FAERS database: A case study. Chapter 17: Molecular docking and molecular dynamics in Signal analysis: A case study.?Chapter 18: Available Databases and Tools for signal detection of vaccines.?Chapter 19: Identification and validation of signals associated with vaccines.Chapter 20: Neurological and behaviour alterations with COVID-19 vaccines using Vaccine Adverse Event Reporting System (VAERS): A Retrospective study.?Chapter 21: Pharmacovigilance based drug repurposing via inverse signals.Chapter 22: Prospective role of preclinical experimentation in validating the safety signals.Chapter 23: Role of Artificial Intelligence in Signal Detection. 24. Index.

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