Replication data for: Change Comes with Time

Although methodologists have provided us ample notice of both the problem of nonproportional hazards (NPHs) and the means of correcting for them, less attention has been paid to the postestimation interpretation. The suggested inclusion of time interactions in our models is more than a statistical fix: These corrections alter the substantive meaning and interpretation of results. Framing the issue as a specific case of multiplicative-interaction modeling, I provide detailed discussion of the problem of NPHs and present several appropriate means of interpreting both the substantive impact and the significance of variables whose effects may change over time.

尽管方法论学者已就非比例风险（nonproportional hazards, NPHs）问题及其校正方法给出了充分警示，但针对估计后解读的关注却相对不足。在模型中纳入时间交互项的建议，绝非仅为统计层面的修正手段：这类校正会改变研究结果的实质内涵与解读方式。本文将该问题界定为乘积交互模型（multiplicative-interaction modeling）的一类特定情形，详细探讨了非比例风险问题，并针对效应随时间变化的变量，给出了若干适用于解读其核心效应与统计学显著性的方法。