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'Arm-based' parameterization for network meta-analysis.

Neil Hawkins1, David A Scott1, Beth Woods2

  • 1ICON Health Economics, Oxford, OX2 0JJ, UK.

Research Synthesis Methods
|November 28, 2015
PubMed
Summary
This summary is machine-generated.

An alternative arm-based parameterization for network meta-analysis offers advantages over contrast-based methods. This approach simplifies data structure and direct individual patient data incorporation, yielding comparable results.

Keywords:
arm-based parameterizationnetwork meta-analysiswinBUGS

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Area of Science:

  • Biostatistics
  • Evidence Synthesis
  • Medical Research Methodology

Background:

  • Network meta-analysis (NMA) commonly employs contrast-based parameterization.
  • This method presents challenges with data structure and incorporating multi-arm trials.
  • Existing parameterizations can complicate direct individual patient data integration.

Purpose of the Study:

  • To introduce and evaluate an alternative arm-based parameterization for network meta-analysis.
  • To demonstrate the advantages of the arm-based approach in handling complex trial data.
  • To compare the performance of arm-based versus contrast-based parameterizations in NMA.

Main Methods:

  • Developed and implemented an arm-based parameterization for network meta-analysis.
  • Utilized a "long" normalized data structure adaptable to varying numbers of comparators.
  • Incorporated individual patient data and multi-arm trials directly into the analysis framework.
  • Validated the parameterization using a published smoking cessation dataset.

Main Results:

  • The arm-based parameterization demonstrated comparable results to the contrast-based method in network meta-analysis.
  • Means and standard deviations were within +/- 0.01 between the two parameterization methods.
  • Both fixed and random effects models yielded consistent outcomes across parameterizations.
  • The arm-based approach facilitated straightforward incorporation of multi-arm trials.

Conclusions:

  • The arm-based parameterization is a viable and advantageous alternative for network meta-analysis.
  • This method simplifies data handling, IPD integration, and multi-arm trial analysis.
  • Researchers are encouraged to consider the arm-based parameterization for future NMA studies.