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A Generalized Interrupted Time Series Model for Assessing Complex Health Care Interventions |
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| Authors: | Cruz Maricela Ombao Hernando Gillen Daniel L. |
| Affiliation: | 1.Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA ;2.Biostatistics Group, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia ;3.Department of Statistics, University of California Irvine, Irvine, CA, USA ; |
| Abstract: | Statistics in Biosciences - Assessing the impact of complex interventions on measurable health outcomes is a growing concern in health care and health policy. Interrupted time series (ITS) designs... |
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