An understanding about Meta Analysis

Chosen elements of the summarized results of basic studies with similar patterns are embedded into a database, and this data is “meta-analyzed”. It is like creating a new Elixir by studying and analyzing every collected data and pointing out the deformities in each study first and later removing them to and combine only the best part of it to form a new research data.

Meta-analysis is done in most almost all areas of study. In the medical field, it involves the study of drugs and effects on patients. These drugs must be having similar elements but it might be having a different effect on different patients. So identifying the side effects caused in different patients one can create a better drug which will have reduced side effects. This kind of study can also be used to prevent any adverse effects on a currently used medicine.

The main problem of meta analysis is that it can result in creating invalid research data if the user is researching or analyzing several data with errors in it.

In software, meta analysis is done mainly on the statistical analysis. In IT Meta analysis is done in creating new apps, softwares, games etc. Example Facebook was created by doing meta analysis of social media softwares like Orkut, Google plus, etc.

I did meta analysis using the details I gathered from a company’s finance database. I created one SQL query to combine several tables in Finance DB to analyse the performance of the company for certain year. Using Power BI tool i was able to do meta analysis of the data i collected as shown below.

One software which I came across for doing meta analysis in excel is “Mix 2.0” .