Segmented regression analysis of interrupted time series studies in medication use research
Segmented regression analysis of interrupted time series studies in medication use research
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DOI：
10.1046/j.1365-2710.2002.00430.x
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发表时间：
2002-08-01
影响因子：
2
通讯作者：
Ross-Degnan, D
中科院分区：
文献类型：
--
作者：
Wagner, AK;Soumerai, SB;Ross-Degnan, D
间断时间序列设计是评估干预措施纵向效应的最有力的准实验方法。分段回归分析是估计间断时间序列研究中干预效果的一种强有力的统计方法。在本文中，我们展示了如何使用分段回归分析来评估旨在提高用药质量和/或控制成本的政策和教育干预措施。
Interrupted time series design is the strongest, quasi-experimental approach for evaluating longitudinal effects of interventions. Segmented regression analysis is a powerful statistical method for estimating intervention effects in interrupted time series studies. In this paper, we show how segmented regression analysis can be used to evaluate policy and educational interventions intended to improve the quality of medication use and/or contain costs.