Interpretation of coefficients in segmented regression for interrupted time series analyses

Interpretation of coefficients in segmented regression for interrupted time series analyses

Abstract Background Segmented regression, a common model for interrupted time series (ITS) analysis, primarily utilizes two equation parametrizations. Interpretations of coefficients vary between the two segmented regression parametrizations, leading to occasional user misinterpretations. Methods To...

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Bibliographic Details
Main Authors: Yongzhe Wang, Narissa J. Nonzee, Haonan Zhang, Kimlin T. Ashing, Gaole Song, Catherine M. Crespi
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Research Methodology
Subjects:
Observational study
Interrupted time series design
Segmented regression
Healthcare policy evaluation
Coefficient interpretation
Online Access:https://doi.org/10.1186/s12874-025-02556-8
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https://doi.org/10.1186/s12874-025-02556-8

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