RIPOSTE: a framework for improving the design and analysis of laboratory-based research

Area of Science:

• Biomedical Sciences
• Laboratory Studies

Background:

• Reproducibility is a significant challenge in biomedical research.
• Poor experimental design and insufficient statistical input contribute to irreproducibility.

Purpose of the Study:

• To introduce the RIPOSTE (Reducing IrreProducibility in labOratory STudiEs) framework.
• To promote early and consistent collaboration between scientists and statisticians.

Main Methods:

• The RIPOSTE framework facilitates discussions during the initial research phases.
• The framework's core principles are illustrated with three diverse case studies.
• Focuses on improving study design, execution, and data analysis.

Main Results:

• Implementation of the RIPOSTE framework is expected to enhance the quality of laboratory studies.
• Minimizing bias through sound study design is a key outcome.
• Increased research reproducibility is the anticipated result.

Conclusions:

• The RIPOSTE framework offers a structured approach to address reproducibility issues.
• Early statistical engagement is crucial for robust experimental design.
• Adoption of this framework can lead to higher quality, more reproducible biomedical research.