What are the key statistical methods used in meta-analysis?
An example of an AI chatbot conversation about statistical methods in meta-analysis.
What are the key statistical methods used in meta-analysis?
Key statistical methods in meta-analysis include fixed-effect and random-effects models, effect size calculations, and heterogeneity assessment.
Can you explain the difference between fixed-effect and random-effects models?
Sure! Fixed-effect models assume that the effect size is the same across studies, while random-effects models account for variability between studies.
How do you assess heterogeneity in meta-analysis?
Heterogeneity can be assessed using statistics like I² and Q-test, which help determine the degree of variation among study results.
What is an effect size, and why is it important?
Effect size quantifies the strength of a phenomenon. It's crucial in meta-analysis as it allows for comparison across different studies.
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