Meta-analysis is a quantitative technique that uses specific measures (e.g., an effect size) to indicate the strength of variable relationships for the studies included in the analysis. The technique emphasizes results across multiple studies as opposed to results from a single investigation.
What is meta analysis in simple words?
: a quantitative statistical analysis of several separate but similar experiments or studies in order to test the pooled data for statistical significance.
What is meta analysis?
Meta-analysis refers to the statistical analysis of the data from independent primary studies focused on the same question, which aims to generate a quantitative estimate of the studied phenomenon, for example, the effectiveness of the intervention (Gopalakrishnan and Ganeshkumar, 2013).
What is a meta analysis procedure?
Meta-analysis is a statistical procedure that integrates the results of several independent studies considered to be “combinable.”1 Well conducted meta-analyses allow a more objective appraisal of the evidence than traditional narrative reviews, provide a more precise estimate of a treatment effect, and may explain …
What is the main purpose of a meta-analysis?
Meta-analyses are conducted to assess the strength of evidence present on a disease and treatment. One aim is to determine whether an effect exists; another aim is to determine whether the effect is positive or negative and, ideally, to obtain a single summary estimate of the effect.
What are the benefits of meta-analysis?
Meta-analysis provides a more precise estimate of the effect size and increases the generalizability of the results of individual studies. Therefore, it may enable the resolution of conflicts between studies, and yield conclusive results when individual studies are inconclusive.
What is an example of meta-analysis?
For example, a systematic review will focus specifically on the relationship between cervical cancer and long-term use of oral contraceptives, while a narrative review may be about cervical cancer. Meta-analyses are quantitative and more rigorous than both types of reviews.
How is meta-analysis calculated?
The most basic “meta analysis” is to find the average ES of the studies representing the population of studies of “the effect”. The formula is pretty simple – the sum of the weighted ESs, divided by the sum of the weightings.
How many studies do you need for a meta-analysis?
yes, there should be a minimum of 2 studies to perform a meta-analysis. When the coefficient of variation for data in a study is less than 15%.
How long does a meta-analysis take?
They estimated it should take from 25 to 2,518 hours, with a mean total of 1,139 hours, to conduct a meta-analysis. Their estimate included 588 hours needed for search, retrieval, and creation of a database for the search results. At the low end of the time spectrum, Saleh et al.
How do you write a good meta-analysis?
- Rule 1: Specify the topic and type of the meta-analysis. …
- Rule 2: Follow available guidelines for different types of meta-analyses. …
- Rule 3: Establish inclusion criteria and define key variables. …
- Rule 4: Carry out a systematic search in different databases and extract key data.
What data is needed for a meta-analysis?
The two summary statistics commonly used for meta-analysis of continuous data are the mean difference (MD) and the standardized mean difference (SMD). Other options are available, such as the ratio of means (see Chapter 6, Section 6.5.
What are the problems with meta-analysis?
Several problems arise in meta-analysis: regressions are often non-linear; effects are often multivariate rather than univariate; coverage can be restricted; bad studies may be included; the data summarised may not be homogeneous; grouping different causal factors may lead to meaningless estimates of effects; and the …
What are the pros and cons of meta-analysis?
- pooled estimate of effect.
- allows for an objective appraisal of evidence.
- may reduce the probability of false negative results.
- heterogeneity between study results may be explained.
- avoids Simpson’s paradox.
What are 4 types of research?
- Theoretical Research. …
- Applied Research. …
- Exploratory Research. …
- Descriptive Research. …
- Explanatory Research. …
- Qualitative Research. …
- Quantitative Research. …
- Experimental Research.
What is the difference between a meta analysis and a review?
A systematic review attempts to gather all available empirical research by using clearly defined, systematic methods to obtain answers to a specific question. A meta-analysis is the statistical process of analyzing and combining results from several similar studies.