ScholarGate
Assistent
Regression modelQuasi-experimental / causal inference

Spatial Interrupted Time Series

Spatial Interrupted Time Series (Spatial ITS) udvider det klassiske ITS-design til situationer, hvor enheder er geo-refererede, og udfald i én lokalitet kan påvirke eller korrelere med udfald i nabolokationer. Metoden estimerer den kausale effekt af en diskret intervention på en udfaldstidsserie, mens den eksplicit modellerer geografisk autokorrelation, hvilket forhindrer biased standardfejl og muliggør detektion af rumlige spillovers.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. McDowall, D., McCleary, R., Meidinger, E. E., & Hay, R. A. (1980). Interrupted Time Series Analysis. Sage Publications. ISBN: 978-0803913950
  2. Lawson, A. B. (2018). Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology (3rd ed.). CRC Press. ISBN: 978-1138575424

Sådan citerer du denne side

ScholarGate. (2026, June 3). Spatial Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/da/causal-inference/spatial-interrupted-time-series

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateSpatial Interrupted Time Series (Spatial Interrupted Time Series Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/spatial-interrupted-time-series · Datasæt: https://doi.org/10.5281/zenodo.20539026