内部复制作为评估临床前实验可重复性的工具
Internal replication as a tool for evaluating reproducibility in preclinical experiments
AI总结：
本文提出利用生物实验中已有的跨批次、地点等内部复制数据来量化可重复性，定义了六种内部复制类型，并通过三地点小鼠实验验证了该方法可为临床前研究提供更稳健的统计推断。
摘要：
可重复性对科学发现的可信度至关重要，但完整的重复研究成本高昂且很少进行。然而，许多生物实验包含内部复制，其定义为跨批次、运行、天数、窝别或地点的重复，可用于估计可重复性而无需额外实验。这种内部复制类似于预测或机器学习模型中的内部验证，但通常被视为干扰因素并通过归一化去除，从而错失了评估结果稳定性的机会。本文根据独立性和时间定义了六种内部复制类型。利用在三个独立地点进行的实验所获得的小鼠数据，我们展示了如何量化和检验内部可重复性。该方法提供了一个框架，用于从现有数据中量化可重复性，并在临床前研究中报告更稳健的统计推断。
英文摘要：
Reproducibility is central to the credibility of scientific findings, yet complete replication studies are costly and infrequent. However, many biological experiments contain internal replication, which is defined as repetition across batches, runs, days, litters, or sites that can be used to estimate reproducibility without requiring additional experiments. This internal replication is analogous to internal validation in prediction or machine learning models, but is often treated as a nuisance and removed by normalisation, missing an opportunity to assess the stability of results. Here, six types of internal replication are defined based on independence and timing. Using mice data from an experiment conducted at three independent sites, we demonstrate how to quantify and test for internal reproducibility. This approach provides a framework for quantifying reproducibility from existing data and reporting more robust statistical inferences in preclinical research.
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