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

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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Bibliographic Details
Published inBMJ (Online) Vol. 350; no. jun09 5; p. h2750
Main Authors Kontopantelis, Evangelos, Doran, Tim, Springate, David A, Buchan, Iain, Reeves, David
Format Journal Article
LanguageEnglish
Published England British Medical Journal Publishing Group 09.06.2015
BMJ Publishing Group LTD
BMJ Publishing Group Ltd
Subjects
Asthma
Cardiovascular disease
Clinical trials
Design
Diabetes
Interrupted Time Series Analysis
Intervention
Performance evaluation
Quasi-experimental methods
Research Design - statistics & numerical data
RESEARCH METHODS & REPORTING
Time series
Trends
United Kingdom > UK
Online AccessGet full text
ISSN0959-8138
1756-1833
1756-1833
DOI10.1136/bmj.h2750

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Summary: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
Bibliography:ObjectType-Article-1
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ISSN:0959-8138
1756-1833
1756-1833
DOI:10.1136/bmj.h2750