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American Journal of Advances in Nursing Research

Volume 11, Issue 1, 2024
Mcmed International
American Journal of Advances in Nursing Research
Issn
XXX-XXXX (Print), 2349 – 0691 (Online)
Frequency
bi-annual
Email
editorajanr@mcmed.us
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Abstract
Title
META ANALYSIS: IN RESEARCH
Author
Asif Khan
Email
akp.akbnz@gmail.com
keyword
Meaningiful, Heterogenicity, Meta analysis, Avoided
Abstract
Meta analysis can be a powerful tool to combine results from studies with similar design and patient populations that are too small or underpowered individually to demonstrate a statistically significant association. As with clinical trials, having an appropriate study question and design are essential when performing a meta-analysis to ensure that there is internal validity and that the results are clinically meaningful. Heterogeneity among studies in study designs or patient populations is one of the most common flaws in meta-analyses. Heterogeneity can be avoided by thoughtful data abstraction performed by two or more authors who use a standardized data abstraction form. By applying a systematic approach to Meta analysis, many of the pitfalls can be avoided.
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