Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book provides conceptual information on the various processes involved in meta-analysis. It examines the importance of meta-analysis for the analyses of clinical data to draw a valid conclusion using suitable software. The initial sections of the book introduce meta-analysis, how to perform a systematic literature review (SLR), quality assessment of studies, extraction, and analysis of data. The subsequent section of the book contains information on advanced topics including, meta-regression, network meta-analysis, issues, mistakes, and future perspectives. In summary, the book provides a…mehr
This book provides conceptual information on the various processes involved in meta-analysis. It examines the importance of meta-analysis for the analyses of clinical data to draw a valid conclusion using suitable software. The initial sections of the book introduce meta-analysis, how to perform a systematic literature review (SLR), quality assessment of studies, extraction, and analysis of data. The subsequent section of the book contains information on advanced topics including, meta-regression, network meta-analysis, issues, mistakes, and future perspectives. In summary, the book provides a statistical method for combining the results of different studies on the same topic and resolving conflicts among studies. This book is written with the intent to allow a wide range of readers including students, researchers, and health care professionals, including physicians, nurses, pharmacists, and paramedical, and is also helpful for a beginner who would like to do a meta-analysis.
Dr. Anoop Kumar currently working as an Assistant Professor in the Department of Pharmacology and Clinical Research, at Delhi Pharmaceutical Sciences & Research University (DPSRU), New Delhi, India. He has earlier served as an Assistant Professor and Head in the Department of Pharmacology and Toxicology at NIPER, Raebareli, as Associate Professor and Officiating Head in the Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, as Lecturer in Shanti Niketan College of Pharmacy, Mandi, BIRAC Research Scientist in Translational Health Science Institute (THSTI), Faridabad, India, Research Associate in Sun Pharmaceutical Limited, Gurugram, Haryana, India, QA officer in Cipla Pharmaceutical Limited Baddi, H.P. and DST INSPIRE JRF and SRF fellow at BIT Mesra, Ranchi. He has also served as an expert member of the Board of studies of Clinical Research Programme of IKGPTU, Jalandhar, Punjab, an expert member of Drug Discovery Hackathon 2020 (DDH2020) initiated byAICTE, MHRD, Govt of India, Member Secretary of IAEC, and member of HEC.
Recently, He has been conferred with the “Notable Researcher Award 2022” in Pharmacology from DPSRU and also included as a top 2% Scientist of the World for the year 2021 in a study conducted by Stanford University, USA. He has served as a referee and guest editor for several International Journals of repute. He has authored more than 100 research and review articles and 20 book chapters in International Journals and publishers of repute. He is also the author of 03 books. His research interests are drug repurposing using computational, In-vitro and In-vivo techniques, Meta-analysis, Signal analysis in Pharmacovigilance, and Pharmacoeconomic studies. His lab gets funding from DST SERB, ICMR, and IITD.
Inhaltsangabe
Chapter 1_Introduction.- Chapter2_Systematic literature review (SLR).- Chapter 3_Registration and software’s.- Chapter 4_Quality Assessment of Studies.- Chapter 5_Extraction and Analysis of data.- Chapter 6_Models in Meta-analysis.- Chapter 7_Heterogeneity and Publications bias.- Chapter 8_Sensitivity and subgroup analysis.- Chapter 9_Meta-regression.- Chapter 10_Plots in Meta-analysis.- Chapter 11_Network Meta-analysis.- Chapter 12_Common mistakes.- Chapter 13_Challenges.- Chapter 14_Future Perspectives.- Chapter 15_Future perspectives.
Chapter 1_Introduction.- Chapter2_Systematic literature review (SLR).- Chapter 3_Registration and software's.- Chapter 4_Quality Assessment of Studies.- Chapter 5_Extraction and Analysis of data.- Chapter 6_Models in Meta-analysis.- Chapter 7_Heterogeneity and Publications bias.- Chapter 8_Sensitivity and subgroup analysis.- Chapter 9_Meta-regression.- Chapter 10_Plots in Meta-analysis.- Chapter 11_Network Meta-analysis.- Chapter 12_Common mistakes.- Chapter 13_Challenges.- Chapter 14_Future Perspectives.- Chapter 15_Future perspectives.