How to Write Effective Meta-Analysis Research Papers

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How to Write Effective Meta-Analysis Research
Papers
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What is Meta-Analysis Research Study?

• Various studies are done on similar or
  approximately similar topics. These studies are
  done at different time-period and in different
  regions. Each study has its analysis. When a
  study combines and statistically analyzed the
  finding of various studies, such a study is
  termed as meta-analysis study. The purpose of a
  meta-analysis study is to integrate the findings
  of various studies done on almost similar topics.
• In most cases, the studies involved in a
  meta-analysis are randomized, controlled clinical
  trials. Meta-analysis is done to arrive at the
  precise conclusion about the risk factor for a
  disease, the effect of treatment on the disease,
  or the use of specific treatment against the
  disease. 

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How to Write Effective Meta-Analysis Research
Papers?

• Writing meta-analysis requires a lot of
  scrutinies and result in analysis. Following are
  the rules to be followed for writing the good and
  effective meta-analysis research paper
• Research question and type of meta-analysis This
  is the first and one of the important steps for
  good meta-analysis.
• Establish inclusion and exclusion
  criteria Before starting the meta-analysis, you
  should have a definite criterion in youre and to
  select and reject studies.
• Detailed use of databases The author should be
  well-versed with various databases. You should
  perform a comprehensive, organized and systematic
  literature search to find the relevant studies. 

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• Use of various guidelines for meta-analysis Vario
  us guidelines for conducting a meta-analysis are
  available. These include Meta-analysis of
  Observational Studies in Epidemiology (MOOSE)
  statements, Quality of Reports of Meta-analyses
  of Randomized Controlled Trials (QUORUM), and
  Preferred Reporting Items for Systematic reviews
  and Meta-analyses (PRISMA).
• Identifying statistical methods The author
  should identify the best statistical methods for
  meta-analysis that significantly reduces
  biasness.
• Detailed data and data integrity Incorporate
  comprehensive data in your meta-analysis research
  paper. The quality of the study should also be
  good for accurate results.

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• Use of statistical software The author should
  have access to various meta-statistics software
  to carry out statistical analysis. Help from a
  professional statistician can be taken for
  carrying analysis.
• Coding forms The author should define accurate
  coding forms to obtain relevant statistics. Good
  coding forms help in obtaining high-quality
  results.
• Interpreting results and suggesting future
  scope Pay special attention to the discussion
  part of the research paper. Through discussion,
  the author discusses the results of a
  meta-analysis in comparison to current
  literature. Future scope of meta-analysis helps
  to initiate new studies in the forward direction.

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What is the Need of Meta-Analysis Study?

• Meta-analysis finds its importance in different
  aspects of the research process. These include
• To simplify the complex data Meta-analysis is
  done to simplify the complex data. Data from
  various studies are taken and analyzed
  statistically.  Further, meta-analysis provides a
  more complex data analysis related to outcome,
  safety, and efficacy.
• Publications Meta-analysis is required during
  the publication of the primary study in journals.
  Meta-analysis plays an important role in
  recognizing the outcomes available from the prior
  studies which are related to the research topic
  in context. Through meta-analysis, the researcher
  submits the prior data in the introduction of the
  primary research study.

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• Studies with conflicting results Studies on a
  similar research topic may have conflicting
  results. For instance, some studies advocate the
  use of calcium in pre-eclampsia while other
  studies indicate that there is no effect of
  calcium supplementation on pre-eclampsia.
• Grant applications Fund or grant is required to
  perform a new study. For preparing the proposal
  for the fund, meta-analysis is done to
  consolidate the available data and to determine
  the need for a new study.
• Performing new studies Meta-analysis analyzes
  all the relevant studies available on a specific
  research topic. This helps in determining the
  specific requirement for conducting a new study.
  Meta-analysis provides insight about which
  outcomes are already measured in prior data and
  which still requires an answer.

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What are the Characteristics of Meta-Analysis
Research Study?

• Following are the characteristics of a
  meta-analysis research study
• Statistical method Meta-analysis is done to
  establish statistical significance among the
  studies already done in a specific area of
  research with conflicting results. It helps in
  increasing the validity of differences in
  different studies. Meta-analysis requires
  detailed statistical skills.
• Use of prior data Meta-analysis does not
  initiate altogether new research i.e. it is not
  primary research. It uses the data from the
  studies that had already taken place.

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• Evidence evaluation Meta-analysis is done to
  determine the strength of evidence present in the
  prior art in context to a specific area of
  research. It also helps in determining the need
  for new primary research.
• Increased sample size Many individual studies
  have a common problem of small sample size. This
  problem is solved through meta-analysis. A
  meta-analysis combines the samples of different
  studies to reach an accurate, valid and precise
  conclusion.
• Different subsets Meta-analysis evaluates the
  cause-effect relationship in different studies
  i.e. different subsets of the subjects. The
  result of meta-analysis can be extrapolated to a
  larger population.

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