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The use of fixed study main effects in arm-based network meta-analysis.
Hans-Peter Piepho1, Laurence V Madden2, Emlyn R Williams3
1Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany.
Network meta-analysis (NMA) methods include arm-based and contrast-based approaches. This study shows how to prevent arm-based NMA from recovering inter-study information, preserving concurrent control principles.
Area of Science:
- Biostatistics
- Health Research Methodology
Background:
- Network meta-analysis (NMA) encompasses arm-based and contrast-based methodologies.
- Certain arm-based NMA techniques face criticism for potentially violating the principle of concurrent control by recovering inter-study information.
Purpose of the Study:
- To address criticisms of arm-based network meta-analysis.
- To propose a method for preventing the recovery of inter-study information in arm-based NMA.
- To discuss the advantages of refined arm-based NMA.
Main Methods:
- The study focuses on arm-based network meta-analysis (NMA).
- A key methodological point is the fitting of a fixed main effect for studies.
- This approach is shown to prevent the recovery of inter-study information.
Main Results:
- Fitting a fixed main effect for studies effectively prevents inter-study information recovery in arm-based NMA.
- This modification ensures adherence to the principle of concurrent control.
- The study highlights the benefits of this adjusted arm-based approach.
Conclusions:
- Arm-based network meta-analysis can be conducted while strictly adhering to the principle of concurrent control.
- A fixed main effect for studies is a viable strategy to prevent inter-study information recovery.
- This refinement enhances the validity and reliability of arm-based NMA findings.
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