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Regression modelQuasi-experimental / causal inference

Mifumo ya Mihula Iliyoingiliwa kwa Nguvu

Mifumo ya Mihula Iliyoingiliwa kwa Nguvu (Dynamic ITS) huipanua muundo wa kawaida wa ITS kwa kuruhusu athari za uingiliaji kujengeka, kupungua, au kubadilika kwa mihula mingi badala ya kudhani mabadiliko ya kiwango cha papo hapo. Inakadiria jinsi athari za uingiliaji zinavyoendelea kwa vipindi vya muda, na kuifanya ifae hasa kwa afya ya umma, utafiti wa huduma za afya, na tathmini ya sera ambapo athari hujilimbikiza polepole au hupotea baada ya athari ya awali.

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Vyanzo

  1. 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: 10.1093/ije/dyw098
  2. Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002). Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics, 27(4), 299-309. DOI: 10.1046/j.1365-2710.2002.00430.x

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Dynamic Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/sw/causal-inference/dynamic-interrupted-time-series

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Imerejelewa na

ScholarGateDynamic Interrupted Time Series (Dynamic Interrupted Time Series Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/dynamic-interrupted-time-series · Seti ya data: https://doi.org/10.5281/zenodo.20539026