Conducting interrupted time-series analysis for single- and multiple-group comparisons
Conducting interrupted time-series analysis for single- and multiple-group comparisons
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DOI：
10.1177/1536867x1501500208
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发表时间：
2015-01-01
期刊：
影响因子：
4.8
通讯作者：
Linden, Ariel
中科院分区：
文献类型：
--
作者：
Linden, Ariel
在本文中，我将介绍it sa命令，该命令执行单组和多组比较的中断时间序列分析。在中断时间序列分析中，在引入预期会中断其水平或趋势的干预措施之前和之后的多个等间隔时间段内观察结果变量。itsa命令估计干预对单个治疗组或与一个或多个对照组相比的结果变量的影响。此外，其选项允许用户控制自相关干扰，并估计多个时期的治疗效果。
In this article, I introduce the it sa command, which performs interrupted time-series analysis for single- and multiple-group comparisons. In an interrupted time-series analysis, an outcome variable is observed over multiple, equally spaced time periods before and after the introduction of an intervention that is expected to interrupt its level or trend. The itsa command estimates the effect of an intervention on an outcome variable either for a single treatment group or when compared with one or more control groups. Additionally, its options allow the user to control for autocorrelated disturbances and to estimate treatment effects over multiple periods.