ArticleContemporary clinical trials communications2020
Simulation-based power and sample size calculation for designing interrupted time series analyses of count outcomes in evaluation of health policy interventions.
Article in Contemporary clinical trials communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A Novel Pixel-Based Spatial Modeling Framework for Mapping At-Risk Retina in Geographic Atrophy Progression.Ophthalmology science · 2026Article
- Health Care-Associated Infections Among Neonates During the COVID-19 Pandemic.JAMA network open · 2026Article
- Assessing the effectiveness of decentralised antenatal ultrasound in a primary health care clinic compared with a hospital-based service in rural South Africa: an interrupted time series analysis.BMC pregnancy and childbirth · 2025Article
- Article
- Design and statistical analysis reporting among interrupted time series studies in drug utilization research: a cross-sectional survey.BMC medical research methodology · 2024Article
- Article
- Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity.BMC medical research methodology · 2023Article
- Article
- The use of generalized synthetic control method to evaluate air pollution control measures of G20 Hangzhou Summit.Frontiers in public health · 2022Article
- Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study.JMIR research protocols · 2021Article
- sparrpowR: a flexible R package to estimate statistical power to identify spatial clustering of two groups and its application.International journal of health geographics · 2021Article
- Article
- Environmental Factors and Hyperacute Stroke Care Activity During the COVID-19 Pandemic: An Interrupted Time-Series Analysis.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2020Observational
- Evaluating a Longitudinal Cohort of Clinics Engaging in the Family Planning Elevated Contraceptive Access Program: Study Protocol for a Comparative Interrupted Time Series Analysis.JMIR research protocols · 2020Article
- Estimating the power to detect a change caused by a vaccine from time series data.Gates open research · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectiveThe purpose of this study was to present the design, model, and data analysis of an interrupted time series (ITS) model applied to evaluate the impact of health policy, systems, or environmental interventions using count outcomes. Simulation methods were used to conduct power and sample size calculations for these studies.
methodsWe proposed the models and analyses of ITS designs for count outcomes using the Strengthening Translational Research in Diverse Enrollment (STRIDE) study as an example. The models we used were observation-driven models, which bundle a lagged term on the conditional mean of the outcome for a time series of count outcomes.
resultsA simulation-based approach with ready-to-use computer programs was developed to calculate the sample size and power of two types of ITS models, Poisson and negative binomial, for count outcomes. Simulations were conducted to estimate the power of segmented autoregressive (AR) error models when autocorrelation ranged from -0.9 to 0.9, with various effect sizes. The power to detect the same magnitude of parameters varied largely, depending on the testing level change, the trend change, or both. The relationships between power and sample size and the values of the parameters were different between the two models.
conclusionThis article provides a convenient tool to allow investigators to generate sample sizes that will ensure sufficient statistical power when the ITS study design of count outcomes is implemented.
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