Conducting interrupted time-series analysis for single- and multiple-group comparisons

被引：875
作者：
Linden, Ariel [1 ]
机构：
[1] Linden Consulting Grp LLC, Ann Arbor, MI 48103 USA
来源：
STATA JOURNAL | 2015年 / 15卷 / 02期
关键词：
st0389; itsa; interrupted time series; quasi-experimental designs; causal inference; DESIGNS; EVALUATE; MODEL;
D O I：
10.1177/1536867X1501500208
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
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.
引用
收藏
页码：480 / 500
页数：21
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