A meta-analysis is a statistical method for combining quantitative data from various studies that address the same or similar research question. Fixed-effect and random-effect methods help in measuring the summary effect of a meta-analysis. Both these approaches are very distinctive.
Continue Reading: https://bit.ly/3t6r0ze
For our services: https://pubrica.com/services/research-services/meta-analysis/
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Pubrica
WHICH IS APPROPRIATE TO USE
FIXED-EFFECT OR RANDOM EFFECT
STATISTICAL MODEL WHILE
M eta-analyses - D ifferent Components
Fixed and Random Effect Models
Meta-analysis is the statistical analysis of data
and an essential aspect of systematic reviews.
conducted based on
Meta-analyses are applicable for a number of
including synthesizing data on the
results of interventions and supporting evidence-
based policy and practice.
A meta-analysis is a tool with multiple applications in various fields like medicine,
healthcare, pharmaceuticals, psychology, ecology, education, criminology and
business (Borenstein 2021).
The two most popular models used in conducting meta-analyses are fixed-effect and
This review focuses on and compares both these models based on recent studies.
is a statistical method
combining quantitative data from various studies
that address the same or similar research question
A number of steps are involved in conducting a
These include - question framing, formation of search strategy, the search of literature
database, selection of articles, data extraction, examination of quality of the articles,
test for heterogeneity, estimation of summary effect, evaluation of the sources of
heterogeneity, assessment of publication bias and finally, presentation of results
Fixed-effect and random-effect methods help in measuring the summary effect of a
meta-analysis. Both these approaches are very distinctive.
In the fixed-effect model, it is assumed that there is
one real effect that underpins all of the studies in the
research, and that all variations i