So sánh phương pháp

	Nghiên cứu đoàn hệ thích ứng	Phân tích chuỗi thời gian bị gián đoạn (ITS)
Lĩnh vực	Dịch tễ học	Suy luận nhân quả
Họ	Process / pipeline	Regression model
Năm ra đời	2000s–2010s (systematic formalisation)	2002
Người khởi xướng	Extension of classic cohort methods; adaptive design principles formalised by regulatory and epidemiology communities in the 2000s–2010s	Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
Loại	Observational / adaptive epidemiological design	Quasi-experimental segmented regression
Công trình gốc	VanderWeele, T. J., & Hernan, M. A. (2012). Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs. American Journal of Epidemiology, 175(12), 1303–1310.	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.
Tên gọi khác	adaptive longitudinal study, flexible cohort design, adaptive prospective cohort, ACS	ITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Liên quan	4	5
Tóm tắt	An adaptive cohort study is a longitudinal observational design that follows a defined group of individuals over time to assess exposure-outcome relationships, while incorporating pre-specified adaptation rules that allow protocol modifications — such as sample-size re-estimation, subgroup enrichment, or measurement schedule adjustments — based on accumulating interim data. Adaptations are made without compromising validity, guided by a statistical analysis plan agreed upon before data collection begins.	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.