A meta-analysis is a type of study design that uses statistics to summarize results of several studies.

A meta-analysis is a type of study design that uses statistics to summarize results of several studies.

• A. False
• B. Sometimes
• C. Not sure
• D. True

Answer: (D)

Meta-analysis is a statistical approach to synthesize results across independent studies to produce a pooled effect estimate. By combining data, it increases precision and power, and it can reveal consistency or heterogeneity among study results using models like fixed or random effects. Because this process explicitly uses statistics to summarize findings from several studies, the statement is true. It’s typically part of evidence synthesis within a systematic review rather than a standalone primary study, and it isn’t always possible if studies are too heterogeneous, but that doesn’t change the fact that meta-analysis uses statistics to summarize across multiple studies. The other options don’t fit because this is a defined statistical method for pooling results from multiple studies.

Meta-analysis is a statistical approach to synthesize results across independent studies to produce a pooled effect estimate. By combining data, it increases precision and power, and it can reveal consistency or heterogeneity among study results using models like fixed or random effects. Because this process explicitly uses statistics to summarize findings from several studies, the statement is true. It’s typically part of evidence synthesis within a systematic review rather than a standalone primary study, and it isn’t always possible if studies are too heterogeneous, but that doesn’t change the fact that meta-analysis uses statistics to summarize across multiple studies. The other options don’t fit because this is a defined statistical method for pooling results from multiple studies.