Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

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Abstract

Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples

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Authors

Evangelos Kontopantelis

St Bartholomew's Hospital

T. Doran

Dartmouth College

David A. Springate

University of Manchester

Journals

BMJ

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University of Manchester

University of York

NIHR School for Primary Care Research

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Kontopantelis et al. (Tue,) studied this question.

synapsesocial.com/papers/69dd4c9d21232b10ec40c493 — DOI: https://doi.org/10.1136/bmj.h2750

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Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

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Abstract

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