论文标题
研究可重复性作为生存分析
Research Reproducibility as a Survival Analysis
论文作者
论文摘要
机器学习社区中越来越担心我们正处于可重复性危机中。由于许多人已经开始解决这个问题，我们知道所有工作都将重现性问题视为固有的二进制财产：论文是或不可再现的。取而代之的是，我们将建模纸的可重复性作为生存分析问题。我们认为，这种观点代表了可再现研究的基本元科学问题的更准确的模型，并且我们展示了生存分析如何使我们能够更好地解释先前的纵向数据。数据和代码可以在https://github.com/edwardraff/research-reproducible-survival-analysis中找到
There has been increasing concern within the machine learning community that we are in a reproducibility crisis. As many have begun to work on this problem, all work we are aware of treat the issue of reproducibility as an intrinsic binary property: a paper is or is not reproducible. Instead, we consider modeling the reproducibility of a paper as a survival analysis problem. We argue that this perspective represents a more accurate model of the underlying meta-science question of reproducible research, and we show how a survival analysis allows us to draw new insights that better explain prior longitudinal data. The data and code can be found at https://github.com/EdwardRaff/Research-Reproducibility-Survival-Analysis
