Meta-Analysis and Procedures for Synthesizing Results
Key aspects of meta-analysis
Meta-analysis is the process of integrating the qualitative findings of separate studies through formal statistical approaches (Swanson & Holton III (eds). 2005). The aim of meta-analysis is to increase the precision of estimating the treatment effect of any intervention used. In other words, a meta-analysis combines the outcomes of various studies with the purpose of answering a set of related research hypotheses. The collection of studies can be in the form of raw data from clinical studies, summary statistics in abstracts or report and even published literature. In a broader sense, a meta-analysis is the product of a systematic review.
Strengths
Integrating data from a pool of appropriately conducted primary studies could offer a precise estimate of the underlying effect unlike any individual research (Swanson & Holton III (eds). 2005). This means that by synthesizing the samples of the separate studies, the investigator increases the size of the overall sample. The result is an enhanced statistical power of the analysis and a reduced size of the confidence interval for the estimated effect. Besides, communicating a pooled summary is more efficient than describing the results for each of the individual studies. In some cases, the benefits may be realized by...
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