Research graph
References from The performance of interrupted time series designs with a limited number of time points: Learning losses due to school closures during the COVID-19 pandemic. Local targets link to admitted publications; unresolved targets remain external evidence.
Understanding randomised controlled trials
10.1136/adc.2004.058222 · 2005 · External reference
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Using natural experiments to evaluate population health interventions: new Medical Research Council guidance
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Learning loss due to school closures during the COVID-19 pandemic
10.1073/pnas.2022376118 · 2021 · External reference
The impact of state physical education requirements on youth physical activity and overweight
10.1002/hec.1218 · 2007 · External reference
The population impact on incidence of suicide and non-fatal self harm of regulatory action against the use of selective serotonin reuptake inhibitors in under 18s in the United Kingdom: ecological study
10.1136/bmj.39462.375613.be · 2008 · External reference
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10.1515/9781400829828 · 2009 · External reference
Recent developments in the econometrics of program evaluation
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Natural experiment methodology for research: a review of how different methods can support real-world research
10.1080/13645579.2018.1488449 · 2019 · External reference
The importance of covariate selection in controlling for selection bias in observational studies
10.1037/a0018719 · 2010 · External reference
Segmented regression and difference-in-difference methods: assessing the impact of systemic changes in health care
10.1213/ane.0000000000004153 · 2019 · External reference
Difference-in-differences with variation in treatment timing
10.1016/j.jeconom.2021.03.014 · 2021 · External reference
Unresolved reference
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Unresolved reference
2002 · External reference
Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
2015 · External reference
The use of controls in interrupted time series studies of public health interventions
10.1093/ije/dyy135 · 2018 · External reference
A reanalysis of cluster randomized trials showed interrupted time-series studies were valuable in health system evaluation
10.1016/j.jclinepi.2014.10.003 · 2015 · External reference
Use of interrupted time series analysis in evaluating health care quality improvements
10.1016/j.acap.2013.08.002 · 2013 · External reference
Segmented regression analysis of interrupted time series studies in medication use research
10.1046/j.1365-2710.2002.00430.x · 2002 · External reference
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series
2021 · External reference
Methodology and reporting characteristics of studies using interrupted time series design in healthcare
2019 · External reference
Power failure: why small sample size undermines the reliability of neuroscience
10.1038/nrn3475 · 2013 · External reference
Consequences of relying on statistical significance: some illustrations
10.1111/eci.12912 · 2018 · External reference
Sample size and power considerations for ordinary least squares interrupted time series analysis: a simulation study
10.2147/clep.s176723 · 2019 · External reference
Simulation-based power calculation for designing interrupted time series analyses of health policy interventions
10.1016/j.jclinepi.2011.02.007 · 2011 · External reference
Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review
10.1136/bmjgh-2020-003567 · 2020 · External reference
Interrupted time series designs in health technology assessment: lessons from two systematic reviews of behavior change strategies
10.1017/s0266462303000576 · 2003 · External reference
10.1002/0471704091
10.1002/0471704091 · 2005 · External reference
Interrupted time series regression for the evaluation of public health interventions: a tutorial
2017 · External reference
A comprehensive set of postestimation measures to enrich interrupted time-series analysis
10.1177/1536867x1701700105 · 2017 · External reference
10.4324/9781315650982
10.4324/9781315650982 · 2017 · External reference
Unresolved reference
1992 · External reference
Unresolved reference
2013 · External reference
Piecewise growth curve modeling approach for longitudinal prevention study
10.1016/s0167-9473(03)00149-x · 2004 · External reference
A latent growth curve modeling approach to pooled interrupted time series analyses
10.1023/b:joba.0000045342.32739.2f · 2004 · External reference
Specifying piecewise latent trajectory models for longitudinal data
10.1080/10705510802154349 · 2008 · External reference
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions
2021 · External reference
Unresolved reference
External reference
10.1093/oso/9780190943943.001.0001
10.1093/oso/9780190943943.001.0001 · 2019 · External reference
Application of the ARIMA model on the COVID-2019 epidemic dataset
10.1016/j.dib.2020.105340 · 1982 · External reference
10.4324/9780203491683
10.4324/9780203491683 · 2003 · External reference
Power computations for intervention analysis
10.1198/004017005000000094 · 2005 · External reference
Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic
10.1016/j.chieco.2021.101629 · 2021 · External reference
Effects of COVID-19-related school closures on student achievement-a systematic review
2021 · External reference
COVID-19 and educational inequality: How school closures affect low-and high-achieving students
10.1016/j.euroecorev.2021.103920 · 2021 · External reference
Because every pupil counts: the success of the pupil monitoring system in The Netherlands
10.1023/a:1018629701040 · 1997 · External reference
Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data
10.1177/0962280214547150 · 2017 · External reference
Defining and evaluating stability in early years assessment
10.1080/1743727x.2020.1736024 · 2021 · External reference
Interpreting effect sizes of education interventions
10.3102/0013189x20912798 · 2020 · External reference
What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models
2004 · External reference
10.1063/1.3295638
10.1063/1.3295638 · External reference
10.31235/osf.io/g2wuy
10.31235/osf.io/g2wuy · External reference
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