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Msaidizi
Regression modelQuasi-experimental / causal inference

Mfululizo wa vipindi vingi ulioingiliwa

Mfululizo wa vipindi vingi ulioingiliwa (MITS) huongeza mfumo wa kawaida wa ITS kwa mazingira ambapo uingiliaji mmoja au zaidi hutokea kwa vipindi maalum vya muda ndani ya mfululizo huo. Kwa kuweka regression iliyogawanywa na vipindi vingi vya kuvunja, MITS hutathmini mabadiliko ya kiwango na mabadiliko ya mteremko yanayohusiana na kila uingiliaji huku ikidhibiti mwelekeo wa muda mrefu na athari za usumbufu wa awali.

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Vyanzo

  1. Kontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015). Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. BMJ, 350, h2750. DOI: 10.1136/bmj.h2750
  2. 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: 10.1093/ije/dyw098

Jinsi ya kunukuu ukurasa huu

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

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Imerejelewa na

ScholarGateMulti-period Interrupted Time Series (Multi-period Interrupted Time Series Analysis). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/causal-inference/multi-period-interrupted-time-series · Seti ya data: https://doi.org/10.5281/zenodo.20539026