Transcription of Introduction to Interrupted Time Series Analysis
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Introduction to Interrupted Time Series Analysis
Interrupted Time Series Analysis for Single Series and Comparative Designs:Using Administrative Data for Healthcare Impact AssessmentJoseph M. Caswell, AnalystInstitute for Clinical Evaluative Sciences (ICES) North and Epidemiology, Outcomes & Evaluation ResearchHealth Sciences North Research Institute (HSNRI)Northeast Cancer CentrePresentation Overview Quasi-experimental research Interrupted time Series (ITS) ITS single Series with example ITS comparative with example Autocorrelation Adjusting standard errors (SE) in SAS Guide and macroQuasi-Experimental Research Experimental research: Gold-standard is randomized controlled trial (RCT) , drug trials (random assignment to treatment and placebo groups) Treatment and control groups balanced on baseline measures Can be time-consuming, expensive, and even unethical ( , withholding care) Quasi-experimental research.
Building on Single Series Method • Treatment and control time series are appended • Regression equation is expanded: y = α+ β 1 T+ β 2 X + β 3 XT+ β 4 Z + β 5 ZT + β 6 ZX + β 7 ZXT + ε where Z = treatment or control, ZT= time for treatment and 0 for control, ZX= study phase for treatment and 0 for control, ZXT= time after ...
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