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| 생태학 연구× | 시계열 단절 분석 (Interrupted Time Series, ITS)× | |
|---|---|---|
| 분야≠ | 역학 | 인과추론 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 19th century (Snow 1854); formalised mid-20th century | 2002 |
| 창시자≠ | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues | Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial) |
| 유형≠ | Observational epidemiological study | Quasi-experimental segmented regression |
| 원전≠ | Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗ | Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗ |
| 별칭≠ | aggregate study, correlational study, ecological correlation study, population-level study | ITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi |
| 관련 | 5 | 5 |
| 요약≠ | An ecological study is an observational epidemiological design in which the unit of analysis is a group or population — a country, region, city, or time period — rather than an individual. Exposures and outcomes are measured as aggregates (rates, proportions, or means) and then correlated across groups to generate or evaluate hypotheses about population-level associations between risk factors and disease. | Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope. |
| ScholarGate데이터셋 ↗ |
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