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Regression modelQuasi-experimental / causal inference

Panel Data Interrupted Time Series Analysis

Fikiria kufuatilia viwango vya kurudi hospitalini katika hospitali kadhaa kabla na baada ya sera mpya ya kutoka kuanza kutumika. ITS ya hospitali moja inaweza kutambua ikiwa mwelekeo wa hospitali hiyo umebadilika, lakini matukio ya nje yanaweza kuelezea mabadiliko hayo. Panel ITS huunganisha data kutoka kwa vitengo vingi — baadhi yake huenda hazijaathiriwa na sera — ikiruhusu mwelekeo wa awali wa kila kitengo kutumika kama kauntafaktuali yake ya ndani huku mabadiliko kati ya vitengo yakiongeza usahihi wa makadirio. Athari ya uingiliaji hutambulika kama kupotoka kwa wakati mmoja, kwa wakati maalum katika kiwango au mteremko unaoonekana katika vitengo vyote kwa tarehe moja ya kalenda.

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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. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560

Jinsi ya kunukuu ukurasa huu

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

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