Interrupted time series analysis (ITS), sometimes known as quasi-experimental time series analysis, is a method of statistical analysis involving tracking a long-term period before and after a point of intervention to assess the intervention's effects.
The time series refers to the data over the period, while the interruption is the intervention, which is a controlled external influence or set of influences.
[1][2] Effects of the intervention are evaluated by changes in the level and slope of the time series and statistical significance of the intervention parameters.
[3] Interrupted time series design is the design of experiments based on the interrupted time series approach.
The method is used in various areas of research, such as: This statistics-related article is a stub.