ScholarGate
Асистент

Порівняння методів

Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Переривчастий часовий ряд з гетерогенним ефектом втручання (HTE-ITS)×Перервний часовий ряд для панельних даних×
ГалузьПричинно-наслідковий висновокПричинно-наслідковий висновок
РодинаRegression modelRegression model
Рік появи2000s–2010s2000s–2010s
Автор методуExtensions of Shadish, Cook & Campbell (2002) ITS framework; HTE formulation developed by Lopez Bernal and colleaguesShadish, Cook & Campbell (design framework); Bernal, Cummins & Gasparrini (epidemiological tutorial)
ТипQuasi-experimental segmented regression with subgroup moderationQuasi-experimental causal inference
Основоположне джерелоLopez Bernal, J., 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 ↗Lopez Bernal, J., 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 ↗
Інші назвиHTE-ITS, Subgroup ITS, Effect-modifier ITS, Segmented ITS with interactionpanel ITS, multi-unit ITS, panel ITSA, controlled interrupted time series
Пов'язані45
ПідсумокHeterogeneous Treatment Effect Interrupted Time Series extends the standard ITS design to detect whether an intervention's effect on a time series differs systematically across subgroups or in response to unit-level moderators. Where ordinary ITS yields a single level-change and slope-change estimate, HTE-ITS adds interaction terms for a moderating variable, revealing who benefits more or less from the intervention and by how much.Panel Data Interrupted Time Series (panel ITS) is a quasi-experimental method that estimates the causal effect of an intervention using repeated observations from multiple units over time. By exploiting variation across both units and time periods, it provides stronger causal identification than single-unit ITS, detecting changes in the level and slope of the outcome trajectory immediately following a clearly dated intervention.
ScholarGateНабір даних
  1. v1
  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 2 Джерела
  3. PUBLISHED

Перейти до пошуку Завантажити слайди

ScholarGateПорівняння методів: Heterogeneous Treatment Effect Interrupted Time Series · Panel Data Interrupted Time Series. Отримано 2026-06-19 з https://scholargate.app/uk/compare