Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series

Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series

Abstract Background The Interrupted Time Series (ITS) is a quasi-experimental design commonly used in public health to evaluate the impact of interventions or exposures. Multiple statistical methods are available to analyse data from ITS studies, but no empirical investigation has examined how the d...

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Bibliographic Details
Main Authors: Simon L. Turner, Amalia Karahalios, Andrew B. Forbes, Monica Taljaard, Jeremy M. Grimshaw, Joanne E. McKenzie
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Research Methodology
Subjects:
Autocorrelation
Interrupted Time Series
Public Health
Segmented Regression
Statistical Methods
Empirical study
Online Access:https://doi.org/10.1186/s12874-021-01306-w

Internet

https://doi.org/10.1186/s12874-021-01306-w

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