Meta-Analysis

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This comprehensive work delves into the theory and application of meta-analysis, featuring contributions from various experts in the field. The first part focuses on theoretical aspects, including homogeneity tests, heterogeneity variance estimation, and the examination of different meta-analytical approaches. It addresses the detection of bias and discusses challenges in reviewing observational studies, alongside the evaluation of medical treatments through meta-analysis. The section concludes with insights on the empirical generalization of causal relationships and the broader implications of meta-analysis beyond mere research synthesis. The second part shifts to practical applications, showcasing how meta-analysis methods can model heterogeneity in quality control and assurance. It explores influential factors affecting diagnostic sensitivity and specificity for trichinellosis, as well as the role of meta-analysis in hospital and clinical epidemiology. Further, it presents a generalized linear model that accounts for measurement errors and heterogeneity, applied to Hodgkin's disease research. Additionally, it investigates the impact of design variables on clinical trial outcomes for antidepressants, highlighting the moderating effects of belief compatibility and multidimensionality. This work serves as a valuable resource for researchers and practitioners seeking to enhance their understanding and application of meta-analy