Tutorials in Meta-Analysis

• 1.1. What is a Meta-Analysis?
• 1.2. Types of Meta-Analyses
• 1.3. Importance and Applications of Meta-Analysis
• 1.4. Overview of the Meta-Analysis Process

• 2.1. Importance of a Focused Question
• 2.2. PICOS Framework (Population, Intervention, Comparison, Outcome, Study Design)
• 2.3. Developing a Hypothesis for Meta-Analysis
• 2.4. Aligning with Systematic Review Questions

• 3.1. Identifying Eligible Studies for Meta-Analysis
• 3.2. Extracting Relevant Data for Meta-Analysis
• 3.3. Dealing with Multiple Effect Sizes in Meta-Analysis
• 3.4. Tools for Data Collection in Meta-Analysis

• 4.1. Understanding Bias in Meta-Analysis
• 4.2. Evaluating Study Quality in Meta-Analysis
• 4.3. Tools for Assessing Risk of Bias in Meta-Analysis
• 4.4. Incorporating Quality Assessments in Meta-Analysis

• 5.1. Fixed-effects vs. Random-effects Models
• 5.2. Measuring Heterogeneity (I² Statistic)
• 5.3. Publication Bias and Funnel Plots
• 5.4. Advanced Statistical Techniques in Meta-Analysis

• 6.1. Software Options and Tools for Meta-Analysis
• 6.2. Performing the Analysis Step-by-Step
• 6.3. Interpreting Statistical Outputs
• 6.4. Creating Forest Plots and Other Visuals

• 7.1. Summarizing Findings in Meta-Analysis
• 7.2. Assessing the Strength of Evidence in Meta-Analysis
• 7.3. Implications for Practice and Policy
• 7.4. Reporting Results Transparently

• 8.1. Following Reporting Guidelines
• 8.2. Writing the Meta-Analysis Report
• 8.3. Sharing Findings with Stakeholders
• 8.4. Updating the Meta-Analysis

• 9.1. Avoiding Bias and Conflicts of Interest

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