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.

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.