Meta-Analysis of Proportions

Area of Science:

• Cross-disciplinary scientific research
• Medicine, ecology, psychology, social sciences

Background:

• Meta-analysis of single proportions is increasingly utilized.
• Systematic reviews of prevalence studies are common across various scientific fields.

Purpose of the Study:

• To illustrate meta-analysis methods for pooling single proportions.
• To demonstrate techniques for comparing proportions between two groups.

Main Methods:

• Introduction to classic inverse variance method for meta-analysis.
• Application of generalized linear mixed models for binary data.
• Description of common transformations and back-transformations of proportions.

Main Results:

• Provides a comprehensive overview of statistical approaches.
• Explains methods applicable to both individual studies and meta-analysis settings.
• Facilitates robust analysis of prevalence data.

Conclusions:

• Offers practical guidance on meta-analysis of proportions.
• Enhances the understanding of statistical techniques for binary data.
• Supports rigorous scientific review and data synthesis.