Key result
The authors present a curated repository of 430 interrupted time series datasets from two empirical studies to facilitate future research and teaching in public health and social science.
Why the study?
Many statistical methods exist to analyse interrupted time series data and meta-analyse their results, prompting the curation of a repository to aid future research and teaching.
This data note provides a curated, open-access repository of 430 interrupted time series datasets to facilitate future methodological research and teaching in public health and social sciences.
Provides 190 public ITS datasets for method comparisons; leaves open optimal analysis approaches for policy evaluations.
OBJECTIVES: The interrupted time series (ITS) design is commonly used to investigate the impact of an intervention or exposure in public health. There are many statistical methods that can be used to analyse ITS data and to meta-analyse their results. We undertook two empirical studies to investigate: (i) how effect estimates (and associated statistics) compared when six statistical methods were applied to 190 real-world datasets; and (ii) how meta-analysis effect estimates (and associated statistics) compared when the combinations of two ITS analysis methods and five meta-analysis methods were applied to 17 real-world meta-analyses including 283 ITS datasets. Here we present a curated repository of a subset of ITS datasets from these studies. DATA DESCRIPTION: The repository includes 430 ITS datasets curated from the two empirical studies. The datasets are diverse in the populations, interruptions and outcomes examined, and are methodologically diverse in the outcome types, aggregation time intervals, number of timepoints and segments. Most of the datasets are from public health. For each dataset, we provide the outcome value at each timepoint and the segment (indicating different interruptions), along with characteristics of the dataset. This repository may be of value for future research of ITS studies, and as a source of examples of ITS for use in teaching.
No takes yet. Share an insight, caveat, or question.
Turner et al. (2025) studied Public health and social science (n=430). Interrupted time series datasets was evaluated. The authors present a curated repository of 430 interrupted time series datasets from two empirical studies to facilitate future research and teaching in public health and social science.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: