Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

Journal article

The military aggression of the Russian Federation against Ukraine in certain areas of Luhansk and Donetsk regions, and the annexation of the Autonomous Republic of Crimea forced thousands of citizens to change their place of residence and move to other regions of the country or beyond its borders. Subsequently, this has created a new subject of social security law – internally displaced persons (IDPs); however, it has also created new problems in the social security sphere, especially regardi...

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Authors: Schaffer, AL; Dobbins, TA; Pearson, S-A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: BioMed Central
• Journal: BMC Medical Research Methodology
• Volume: 21
• Issue: 1
• Pages: 58-58
• Article number: 58
• Publication date: 2021-03-22
• DOI: 10.1186/s12874-021-01235-8
• EISSN: 1471-2288
• ISSN: 1471-2288
• Language: English
• Keywords: Econometrics; Computer science; Machine learning; Mathematics; Medicine; Autocorrelation; Autoregressive model; Autoregressive integrated moving average; Time series; Psychiatry; Statistics; Psychological intervention; Scale (ratio); Geography