Category - Systematic Reviews & Meta-Analysis

Systematic Reviews & Meta-Analysis:  Systematic reviews and meta-analysis are defined as a statistical analysis that combines the results of multiple scientific studies.

The premise behind meta-analyses is that there are common truths behind all conceptually similar scientific studies, but they can be measured with a certain error within individual studies. Many local healthcare professional claims to use different approaches from statistics to derive a pooled estimate closest to the unknown common truth. This is based on how this error is perceived and in short, all existing methods yield a measured average from the results of the individual studies. What is different is the manner in which these meta-analyses are measured in weights that are allocated. The manner in which the uncertainty is being computed around the point estimate thus is generated.

In addition, the team has compiled studies to provide an estimate of the unknown common truths. Systematic Reviews & Meta-Analysis has the capacity to contrast results from different studies and identify patterns among study results. The sources of disagreement are among those results and other interesting relationships that may come to light in the context of multiple studies. For many healthcare providers, this compilation of data extraction is present to the reader insight from a broad range of data compilations. For this reason, Meta-Analysis derived from good data stands strong under scrutiny if the interpretation is unbiased.