2020
DOI: 10.1016/j.jclinepi.2020.02.006
|View full text |Cite
|
Sign up to set email alerts
|

Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
146
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
3

Relationship

5
3

Authors

Journals

citations
Cited by 88 publications
(150 citation statements)
references
References 20 publications
3
146
0
1
Order By: Relevance
“…The strengths of our study include that we have used many combinations of parameter estimates and statistical methods. Our parameter values were informed by characteristics of real world ITS studies 4 . We planned and reported our study using the structured approach of Morris et al 24 for simulation studies, and we generated a large number of data sets per combination to minimise MCSE.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…The strengths of our study include that we have used many combinations of parameter estimates and statistical methods. Our parameter values were informed by characteristics of real world ITS studies 4 . We planned and reported our study using the structured approach of Morris et al 24 for simulation studies, and we generated a large number of data sets per combination to minimise MCSE.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…A sample of 200 ITS studies identified in a previous methods review were eligible for inclusion in the current study (10). In brief, we randomly selected ITS studies indexed on PubMed between the years 2013 to 2017.…”
Section: Repository Of Its Studiesmentioning
confidence: 99%
“…Segmented linear regression models are often fitted to ITS data using a range of estimation methods (8)(9)(10)(11). Commonly ordinary least squares (OLS) is used to estimate the model parameters (10); however, the method does not account for autocorrelation. Other statistical methods are available that attempt to account for autocorrelation in different ways (e.g.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In some studies, the raw time series data may be available through extraction of data from graphs or their availability in tables 6 , 8 , 11 , 18 . In this circumstance, it may be possible to overcome some of the above challenges through re-analysis of the ITS studies by appropriately accounting for the design and autocorrelation, or re-analysing the raw data to obtain the desired effect measure for the meta-analysis when it differs from that reported in the primary study.…”
Section: Introductionmentioning
confidence: 99%