Sequential Comparison of Changes with Repeated Measurements Data
重复测量数据中变化速率的序贯比较AI 解读 ↓
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重复测量数据中变化速率的序贯比较
- 研究问题
- 患者依次进入试验且每人接受多次测量时，如何序贯比较两个治疗组的变化速率，并构造相应的组序贯检验边界？
- 方法与思路
- 作者在线性混合效应模型下推导序贯统计量的渐近联合分布，据此构造边界，并讨论非正态误差及两类序贯实施方法。
- 材料陈述的贡献
- 摘要称，部分已有重复测量均值检验可作为该程序的特例，并将方法用于七十四名中年女性的重复骨密度测量。
- 阅读关注点
- 应核对变化速率的参数定义、患者进入和测量安排、联合分布条件，以及边界如何处理多次查看数据带来的错误率。
- 阅读边界
- 仅据 OpenAlex 索引摘要，稿件版本未注明，不能推断刊本变化；摘要未说明随机分组、失访处理及非正态扩展的具体保证。
原文摘要
There are many clinical trials in which the patients enter sequentially, and a response variable is measured repeatedly over time for each patient. A group sequential procedure is proposed for comparing the rates of change between two treatment groups. Some existing procedures for testing the equality of means between two treatment groups with repeated measurements data, such as those proposed by Armitage, Stratton, and Worthington and by Geary, can be interpreted as special cases of the proposed procedure. Under a linear mixed effects model, the asymptotic joint distribution of the sequentially computed statistics is derived. Construction of the group sequential boundaries is based on this distribution theory. The extension to nonnormal distributions of errors is also discussed. The proposed procedure allows for using either the sequential method of Slud and Wei or that of Lan and DeMets. This procedure is then applied to repeated bone density measurements on a sample of 74 middle-aged women and implemented by the method of Lan and DeMets.