Interrupted time series

interrupted time series designinterrupted time-seriesinterrupted time series analysis
Interrupted time series analysis, sometimes known as quasi-experimental time series analysis, is an approach for the analysis of a single time series of data known or conjectured to be affected by interventions (controlled external influences).wikipedia
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Time series

time series analysistime-seriestime-series analysis
Interrupted time series analysis, sometimes known as quasi-experimental time series analysis, is an approach for the analysis of a single time series of data known or conjectured to be affected by interventions (controlled external influences).
Interrupted time series analysis is the analysis of interventions on a single time series.

Effectiveness of sex offender registration policies in the United States

effectiveness of public sex offender registrieseffectiveness of offense-based registrieseffectiveness of sex offender registries
One research method employed to assess the effectiveness of SORN for adult sexual offenders is interrupted time series analysis, which essentially examines an outcome of interest using many observations before and after the implementation of a specific intervention.

Quasi-experiment

quasi-experimentalQuasi-experimental designquasi-experiments
*Quasi-experimental design

Design of experiments

experimental designdesignExperimental techniques
Interrupted time series design is the design of experiments based on the interrupted time series approach.

Medicine

medicalmedical scienceclinical medicine

Cochrane (organisation)

Cochrane reviewCochrane CollaborationCochrane
A few reviews, in occupational health for example, incorporate results from non-randomised observational studies, as well as controlled before–after (CBA) studies and interrupted time-series studies.

Bayesian structural time series

Difference-in-differences models and interrupted time series designs are alternatives to this approach.

Impact evaluation

impactimpact analysis
Intervention interrupted time-series (ITS) evaluations require multiple data points on treated individuals before and after the intervention, while before versus after (or pre-test post-test) designs simply require a single data point before and after.