Meta analysis writing services-help – Pubrica
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META 
ANALYSIS
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WRITING META 
A PuNbrAicaL YhaSs I Sextensive  experience  in  
conducting  meta-analysis a quantitative, formal, 
epidemiological  study design used to 
systematically assess the results  of previous 
research to derive conclusions about that  body of 
research.
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As a general principle, generating, summarizing, and  
understanding the best available evidence are essential for 
 establishing the benefits and safety of interventions.
A well designed and implemented meta-analysis study can 
be  a great benefit to society.
While m eta-analysis has the potential to be a powerful tool 
in   evaluating health care treatments and interventions, 
there are  many potential pitfalls and problems that are yet 
to  be  resolved.
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A poorly performed meta-analysis can perpetuate  
biases from ill-conceived studies or lead to  false  
conclusions.
This, in turn, can cause consumers and caregivers, 
who  frequently access results of m eta-analysis 
through  websites and popular press, to form 
incorrect  conclusions and can result in 
inappropriate medical  decisions.
While the idea behind combining studies to improve 
 precision and power is straightforward, the actual  
implementation of the process is difficult.
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Those who act or react based on meta-analysis 
should  understand the various biases that could be 
 incorporated into a review.
Examples of some potential pitfalls in meta-analysis 
 include publication bias, pipeline bias, and English  
language bias. In addition, combining studies that 
are  not similar in study design, population, 
methods of  analysis or outcome definitions can 
lead to biases as  well, which may result in spurious 
conclusions being  drawn.
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Our Meta-Analysis 
Writing  Services
Guidelines for Reporting: Moreover, a useful guide to improve reporting 
of  systematic reviews and meta-analysis is the PRISMA (Preferred 
Reporting  Items for Systematic reviews and Meta-analysis) statement 
that replaced  the QUOROM (Quality of Reporting of Meta-analysis) 
statemen.
 Detailed Literature Search: We include all relevant studies, because 
loss of  studies can lead to bias in the study.
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Typically, published papers and abstracts are identified by a 
lciotemraptuutreer izsedarch of electronic databases that can include PubMed  (
http://www.ncbi.nlm.nih.gov./entrez/query.fcgi),
ScienceDirect  (http://www.sciencedirect.com/), Scirus (
http://www.scirus.com/srsapp), ISI  Web of Knowledge (https://
www.isiwebofknowledge.com/), Google Scholar  
(https://scholar.google.com/) and CENTRAL (Cochrane Central Register 
of  Controlled Trials,
(https://
www.mrw.interscience.wiley.com/cochrane/cochrane_clcentral_art  
icles_fs.htm).
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Statistical Analysis
Heterogeneity: Heterogeneity (variation in true effect sizes and 
in  factors that might influence those effect sizes) is inherent in 
meta-  analysis, not a problem to be solved.
It includes clinical components (eg, diversity in patient 
populations  or interventions) and statistical components (eg, 
random  differences).
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