Meta-analysis is a research design that is a systematic review with formal statistics. It involves identifying a specific research question, assessing the quality of methods used, and synthesizing the results with statistical analysis. Meta-analysis provides increased power by combining multiple studies to show statistical significance. Possible biases include publication bias and outcome reporting bias. Meta-Analysis is a research method that combines and analyzes data from multiple studies. It is a powerful tool that can increase the statistical power of research and make important findings more apparent. However, like any research method, it has limitations and potential biases that should be considered. Negative predictive value and positive predictive value are two important measures used in diagnostic testing, and they are influenced by the prevalence of the disease being studied. Diagnostic tests are a good starting point for meta-analyses, and software developers.