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 by AICTE, 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.

Presents main ideas and concepts of meta-analysis with suitable simple examples

Highlights methods used to produce a rigorous meta-analysis

Discusses presentation and interpretation of meta-analysis

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.