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Statistical methods for meta-analysis of interrupted time series studies

2023
An interrupted time series study is a type of non-randomised study that allows researchers to quantify the immediate and long-term impact of interruptions like public health policies. For example, the impact of a mass media campaign on HIV testing rates.
openaire   +1 more source

Interrupted Time-Series Analysis

Journal of Policy Analysis and Management, 1981
Stephen M. Meyer   +4 more
openaire   +1 more source

An analysis of covariance markov model for interrupted time series experiments

Communications in Statistics - Theory and Methods, 1979
A simple Markov model is described for the analysis of interrupted time series experiments that employ a control series. The procedure involves regressing the experimental preintervention series on the control preintervention series and then testing for change in the experimental postintervention series which is free of change in the control series.
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Interrupted Time Series Analysis

1980
David McDowall   +3 more
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Review of Interrupted Time Series Analysis.

Contemporary Psychology: A Journal of Reviews, 1981
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Analysis of Interrupted Time-Series Experiments

1978
JOHN M. GOTTMAN, GENE V GLASS
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<p>Methods, Applications and Challenges in the Analysis of Interrupted Time Series Data: A Scoping Review</p>

Journal of Multidisciplinary Healthcare, 2020
Joycelyne E Ewusie   +2 more
exaly  

Can synthetic controls improve causal inference in interrupted time series evaluations of public health interventions?

International Journal of Epidemiology, 2020
Michelle Degli Esposti   +2 more
exaly  

Reflection on modern methods: a common error in the segmented regression parameterization of interrupted time-series analyses

International Journal of Epidemiology, 2021
Hong Xiao   +2 more
exaly  

Creating effective interrupted time series graphs: Review and recommendations

Research Synthesis Methods, 2021
Simon L Turner   +2 more
exaly  

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