## What are the different types of meta-analysis?

There are four widely used methods of meta-analysis for dichotomous outcomes, three fixed-effect methods (Mantel-Haenszel, Peto and inverse variance) and one random-effects method (DerSimonian and Laird inverse variance). All of these methods are available as analysis options in RevMan.

## What is the process of a meta-analysis?

The steps of meta analysis are similar to that of a systematic review and include framing of a question, searching of literature, abstraction of data from individual studies, and framing of summary estimates and examination of publication bias.

**Can you do a meta-analysis without a systematic review?**

A meta-analysis is a statistical procedure for combining numerical data from multiple separate studies. A meta-analysis should only ever be conducted in the context of a systematic review.

**How many papers are enough for a meta-analysis?**

Two studies is a sufficient number to perform a meta-analysis, provided that those two studies can be meaningfully pooled and provided their results are sufficiently ‘similar’.

### What is the meaning of meta analysis?

Definition of meta-analysis : a quantitative statistical analysis of several separate but similar experiments or studies in order to test the pooled data for statistical significance

### What is a meta-analysis in quantitative research?

A meta-analysis integrates the quantitative findings from separate but similar studies and provides a numerical estimate of the overall effect of interest (Petrie et al., 2003). Different weights are assigned to the different studies for calculating the summary or pooled effect.

**How to validate the results of a meta-analysis?**

Validating the results of a meta-analysis is normally achieved by testing the results for homogeneity. It is important to determine the degree to which the results of the studies being combined in a meta-analysis are similar, or homogenous.

**What are the two parts of a meta-analysis?**

In a meta-analysis, the researcher must standardize the results of the various studies being used. This is done in two parts. To begin with, the researcher analyzes the results of each study using one of two standardized methods. A risk-ratio analysis would be used for dichotomous data, or data in which the results are either one thing or another.