방법 증거 기록

Spatial Interrupted Time Series

Spatial Interrupted Time Series (Spatial ITS) extends the classic ITS design to settings where units are geo-referenced and outcomes in one location may spill over into or correlate with outcomes in neighbouring locations. It estimates the causal effect of a discrete intervention on an outcome time series while explicitly modelling geographic autocorrelation, preventing biased standard errors and enabling detection of spatial spillovers.

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원본 기록

방법의 원본 기록에서 그대로 복사된 인용입니다. 이로부터 수준별 검증이 추론되지 않습니다.

Spatial Interrupted Time Series Analysis

분류학적 방법 기록 · regression-model / causal-inference

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

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관련 방법

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Same method familyInterrupted Time Seriesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Interrupted Time Seriesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Causal Impact Analysismachine-suggested · Relational suggestion, not evidence.Same method familySpatial Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Propensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Regression Discontinuity Designmachine-suggested · Relational suggestion, not evidence.