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Consensus-based guidance for conducting and reporting multi-analyst studies
Balazs Aczel1, Barnabas Szaszi1, Gustav Nilsonne2,3
1ELTE Eotvos Lorand University, Budapest, Hungary.
Elife
|November 9, 2021
Summary
Using multiple analysts for data analysis ensures results are robust and not dependent on a single strategy. This consensus-based guidance promotes reliable findings in research.
Area of Science:
- Data Science
- Research Methodology
Background:
- Large datasets can yield varied results based on chosen analysis strategies.
- Assessing the impact of analysis strategies on research conclusions is crucial.
Purpose of the Study:
- To provide consensus-based guidance for conducting multi-analyst studies.
- To discuss the benefits of the multi-analyst approach for research robustness.
Main Methods:
- Employing multiple independent analysts to analyze the same dataset.
- Allowing each analyst to choose their own analysis strategy.
- Developing consensus-based recommendations for study execution and reporting.
Main Results:
- Different analysis strategies can indeed lead to different results and conclusions.
- The multi-analyst approach offers a framework for evaluating the stability of findings.
- Guidance is provided for the practical implementation of this methodology.
Conclusions:
- The multi-analyst approach enhances the reliability and robustness of research findings.
- Wider adoption can improve the credibility of results from large dataset analyses.
- This methodology is applicable to both basic and applied research settings.
Keywords:
analytical variabilityexpert consensusmedicinemetasciencemulti-analystneurosciencenonescience forumstatistical practiceMore Related Videos
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