Signal Analysis in Pharmacovigilance
Principles and Processes
Herausgeber: Kumar, Anoop
Signal Analysis in Pharmacovigilance
Principles and Processes
Herausgeber: Kumar, Anoop
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This book provides detailed concept and information on principles and processes of signal analysis in pharmacovigilance along with case studies. This book is useful for graduate, post graduate students of pharmaceutical sciences and scientists in pharmacology research and drug development.
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This book provides detailed concept and information on principles and processes of signal analysis in pharmacovigilance along with case studies. This book is useful for graduate, post graduate students of pharmaceutical sciences and scientists in pharmacology research and drug development.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 26. September 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 778g
- ISBN-13: 9781032629704
- ISBN-10: 1032629703
- Artikelnr.: 70148805
- Herstellerkennzeichnung
- Produktsicherheitsverantwortliche/r
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 26. September 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 778g
- ISBN-13: 9781032629704
- ISBN-10: 1032629703
- Artikelnr.: 70148805
- Herstellerkennzeichnung
- Produktsicherheitsverantwortliche/r
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Dr. Anoop Kumar is currently working as Assistant Professor in Department of Pharmacology, Delhi Pharmaceutical Sciences & Research University (DPSRU), Govt. of NCT of Delhi, New Delhi, India. He has earlier served as Assistant Professor in the Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli. He has also worked as Associate Professor and Head in the Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab. He has also worked as Research Scientist in Translational Health Science Institute (THSTI), Faridabad and Medical Affairs and Clinical Research Department of Sun Pharmaceutical Limited, Gurugram, India. He has authored more than 100 research and review articles as well as 20 book chapters in International Journals and Publishers of repute. His current h-index is 25, i10 index 53 with citations of 2132. He is also an author of 03 books. He has also filed 5 Indian patents. He has received research grants from the Indian Government (DST SERB, ICMR, and IIT Delhi). He was receipt of DST INSPIRE Fellow (2012-2016), as well as receipt of Distinguished and Notable Researcher Award (2021-2022). He has also been included in the top 2% lists of scientists released by Stanford. Currently, he is also working as member secretary of human ethics committee approved by Central Drugs Standard Control Organisation (CDSCO), Ministry of Health & Family Welfare, Government of India and Treasure of International Society for Pharmacoeconomics and Outcomes Research (ISPOR) India Chapter. He is also an expert member in Board of studies of various reputed Universities. He is life time members of various professional societies like Indian Pharmacological Society (IPS), Association of Pharmaceutical Teachers of India (APTI), and Society for Alternatives to Animal Experiments (SAAE), India. He has also worked as member secretary and animal house In charge approved by Committee for Control and Supervision of Experiments on Animals (CCSEA), Government of India. His research interests are drug repurposing using computational and experimental studies, Meta-analysis, Signal analysis in Pharmacovigilance, Pharmacoeconomic studies.
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.
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.
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.
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.