Abstract Conventional statistical methods (e.g. logistics regression, decision tree, etc.) have been used to analyze library demand-driven acquisitions (DDA) data. However, these methods are not well-suited to predict when acquisitions will be triggered or how long e-books will remain unused. Survival analysis, a statistical method commonly used in clinical research and medical trials, was employed to predict the time-to-trigger for DDA purchases within the context of a large research university library. By predicting which e-books will be triggered (i.e., purchased), as well as the time to trigger occurrence, the method tested in this study provides libraries a deeper understanding of factors influencing their DDA purchasing patterns. This understanding will help libraries optimize their DDA profile management and DDA budgets. This research provides a demonstration of how data science techniques can be of value for the library environment.

中文翻译：

---

通过生存分析对图书馆需求驱动的采购中的触发时间进行建模

摘要 传统的统计方法（例如逻辑回归、决策树等）已被用于分析图书馆需求驱动的采购（DDA）数据。然而，这些方法并不适合预测何时触发收购或电子书将保持多久不被使用。生存分析是临床研究和医学试验中常用的一种统计方法，用于在大型研究型大学图书馆的背景下预测 DDA 购买的触发时间。通过预测将触发（即购买）哪些电子书以及触发发生的时间，本研究中测试的方法使图书馆能够更深入地了解影响其 DDA 购买模式的因素。这种理解将有助于图书馆优化其 DDA 档案管理和 DDA 预算。