2024/11/02 by L. Salvatore, Ronald Pierik, Kaisa Kajala +1 · 1 voice
Mathematics · Computer Science · Decision Sciences · #Statistical Methods in Clinical Trials #Computational Drug Discovery Methods #Meta-analysis and systematic reviews
paper · pdf · doi:10.1101/2024.10.31.621251
Abstract Scientific progress relies on reproducibility, replicability, and robustness of research outcomes. After briefly discussing these terms and their significance for reliable scientific discovery, we argue for the importance of investigating robustness of outcomes to experimental protocol variations. We highlight challenges in achieving robust, replicable results in multi-step plant science experiments, using split-root assays in Arabidopsis thaliana as a case study. These experiments are important for unraveling the contributions of local, systemic and long-distance signalling in plant responses and play a central role in nutrient foraging research. The complexity of these experiments allows for extensive variation in protocols. We investigate what variations do or do not result in similar results and provide concrete recommendations for enhancing replicability and robustness of these and other complex experiments through extending the level of detail in research protocols.