Meta Analysis

Statistical Services

Meta Analysis is a non-experimental quantitative research approach that combines data from two or more experimental or observational studies with similar or related hypotheses. At Statistics Consultancy, every aspect of our work concerning your Meta Analysis is focused on this method.

Our Statistics Consultancy meticulously plans your Meta Analysis, prioritizing careful attention and diligence. Various guidelines exist to ensure the comprehensive execution of meta analyses. The most commonly favored frameworks for reporting Meta Analyses include the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) by Moher et al. (2009) and the Meta Analysis of Observational Studies in Epidemiology (MOOSE) introduced by Stroup et al. (2000).

Statistics Consultancy combines, condenses, and evaluates past empirical research findings:

We conduct comprehensive Meta Analyses using a wide range of data sources, including MEDLINE, EMBASE, Cochrane, Cancer Lit, AIDS Line, and ToxLine, among others. Meta Analysis is a rigorous approach in epidemiological study design that systematically evaluates previous research studies. It offers a more precise estimate of treatment effects or other outcomes compared to individual studies by aggregating and analysing their results. Meta Analysis has been recognized as a powerful analytical tool in epidemiological research since as early as 1977.

At Statistics Consultancy, our team of expert statisticians provides assistance in analysing studies or variables, specifically examining the impact of variable x on variable y. This approach increases the statistical power of the analysis compared to simple subject pooling across studies.

In addition to our statistical services, we also offer consultancy services, including the evaluation and review of external meta-analysis. This service is particularly valuable in ensuring that a research study is prepared for review, which is crucial for achieving success in market access. Our consultancy services involve:

  1. Selecting the appropriate methodological approach.
  2. Identifying shortcomings in previous analyses and proposing practical solutions.
  3. Expanding the potential for a successful research outcome.
Meta Analysis Services
for Your Dissertation:

We offer assistance in conducting Meta Analyses for your dissertation, helping you:

Statistics consultancy
Our Meta Analysis Service Features Include:
Statistics consultancy
In addition, we also employ and implement various

types of Meta Analysis, including:

Once primary data is gathered from individuals through questionnaires or interviews (capturing attitudes, feelings, and personal experiences), we undertake the following steps:

  • Direct Comparison: This involves pairing available evidence to assess the effects of one treatment against another.
  • Simple Indirect Comparison: Individual Meta Analyses or paired analyses' outcomes are used for straightforward indirect comparisons via a common element. Recommended analytical techniques ensure the validity of these analyses.
  • Meta Regression: We strategically employ this technique to examine the impact of moderator variables on effect sizes, using regression-based tools. In certain cases, meta regression can yield more substantial insights compared to basic meta-analytical methods
  • Network Meta Analysis: We have expertise in applying advanced statistical methods for conducting complex network meta-analyses. Network Meta Analysis is effectively used to summarize treatment effects, taking into account both direct and indirect evidence.

What Statistical Consultation Services We Offer at Meta Analysis Services?

We provide:

  • A fully referenced statistical section for your Meta Analysis.
  • A detailed plagiarism report.
  • A complimentary quality report.


Before initiating a project, we will request the following information:

  • The study's objectives.
  • The target population.
  • The geographical area of interest.
  • The rarity of the studied sample.
  • Specific parameters (which may vary depending on the study).