What is meta-analysis?
Meta-analysis is a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research. Typically, but not necessarily, the study is based on randomized, controlled clinical trials.
What is a meta-analysis approach?
A meta–analysis is a statistical analysis that combines the results of multiple scientific studies. A key benefit of this approach is the aggregation of information leading to a higher statistical power and more robust point estimate than is possible from the measure derived from any individual study.
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.
What is the key to meta-analysis?
Essentials. A systematic review aims to appraise and synthesize the available evidence addressing a specific research question; a meta‐analysis is a statistical summary of the results from relevant studies. A meta‐analysis will provide a non‐valid answer if included studies are not valid.
Can meta analysis be trusted?
1. A meta–analysis is a safer starting point than a single study – but it won’t necessarily be more reliable. A meta–analysis is usually part of a systematic review. A bad or patchy meta–analysis might not come to as reliable conclusions as a well-conducted, adequately powered single study.
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.
What are the advantages of a meta analysis?
Meta-analysis increases the sample size, and in turn, the power to study the effects of interest by combining primary studies and providing a precise estimate of the effects. Data synthesized from meta-analyses are usually more beneficial than the results of narrative reviews.
How do you start a meta analysis?
When doing a meta–analysis you basically follow these steps:
- Step 1: Do a Literature Search.
- Step 2: Decide on some ‘Objective’ Criteria for Including Studies.
- Step 3: Calculate the Effect Sizes.
- Step 4: Do the Meta–Analysis.
- Step 5: Write it up, lie back and Wait to see your first Psychological Bulletin Paper.
Is meta analysis a literature review?
It is the analysis of analyses and used for practical purposes like clinical trials, etc. Meta Analysis is in a way a literature review but it considers only conceptually similar studies. Both literature review and Meta Analysis are secondary sources of knowledge.
How many studies do you need 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 meta means?
Meta can be used as an acronym for “most effective tactics available,” and calling something “meta” means that it’s an effective way to achieve the goal of the game, whether it’s to beat other players or beat the game itself.
What is the main purpose of a meta analysis quizlet?
Meta analysis is a way to combine results of multiple studies to provide a more precise estimate of an outcome. Quantitative systematic review! Creates a new data set.
When should a meta analysis not be used?
9.1. 4 When not to use meta–analysis in a review
- A common criticism of meta–analyses is that they ‘combine apples with oranges’.
- Meta–analyses of studies that are at risk of bias may be seriously misleading.
- Finally, meta–analyses in the presence of serious publication and/or reporting biases are likely to produce an inappropriate summary.
What is the unit of analysis in a meta analysis?
What is a Unit-of-Analysis Error? In epidemiologic research, the unit-of- analysis (UoA) is the “what or whom” being studied. It can be an individual, group of individuals, cluster of individuals, or any aggregated grouping under investigation.
Is meta analysis hard?
In summary, a meta–analysis is an important and valuable tool for summarizing data from multiple studies. However, it is not an easy task and requires careful thought and planning to provide accurate and useful information.