What is meta-analysis?

Short Answer

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A meta-analysis is a statistical procedure that combines the results of multiple independent studies to provide a precise estimate of effect size or answer a research question. It uses a strict methodology, involves a meticulous literature search, and requires statistical expertise.

Step by step solution

01

Definition of Meta-Analysis

A meta-analysis is a statistical procedure for combining data from multiple studies. It is a type of systematic review that uses statistical methods to combine the results of different independent studies.
02

Purpose of Meta-Analysis

The main purpose of a meta-analysis is to provide a precise estimate of the effect size for a planned treatment or intervention, or to answer the formulated research question. It does this by pooling the data from all relevant studies, thereby increasing the statistical power to detect an effect.
03

Characteristics of Meta-Analysis

A few key characteristics of a meta-analysis include the fact that it uses a strict methodology to prevent bias, it involves a meticulous literature search to find all studies that meet specific criteria, and it requires expert knowledge in statistical methods to combine the results of the different studies.

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