Time After Time: Difference-in-Differences and Interrupted Time Series Models in SAS
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Time After Time: Difference-in-Differences and Interrupted Time Series Models in SAS
Health care and other epidemiological researchers are increasingly turning to difference-in-differences (DID) and interrupted time series models (ITS) to analyze pre- and post-changes in outcomes around an intervention or exposure. These models are often used in quasi-experimental studies with non-randomized exposures using retrospective ...
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