Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data note
Abstract 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 in...
Saved in:
Main Authors: | Simon L Turner, Elizabeth Korevaar, Amalia Karahalios, Andrew B Forbes, Joanne E McKenzie |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Research Notes |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13104-024-07055-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interrupted time series analysis to evaluate the impact of COVID-19-pandemic on the incidence of notifiable infectious diseases in the Lazio region, Italy
by: Martina Spaziante, et al.
Published: (2025-01-01) -
Encoding Interruptions in Parliamentary Data: From Applause to Interjections and Laughter
by: Tanja Wissik
Published: (2022-06-01) -
Interrupted Aortic Arch Complicated with Type A Aortic Dissection in a Young Adult
by: Ashish Dua, et al.
Published: (2024-07-01) -
A comparative study of hospitalization costs of TKA inpatients before and after National Volume-based Procurement in Guangdong, China: an interrupted time-series analysis
by: Anqi Li, et al.
Published: (2025-01-01) -
Commentary: Oil and gas development exposure and atrial fibrillation exacerbation: a retrospective study of atrial fibrillation exacerbation using Colorado's all payer claims dataset
by: Judy Wendt Hess
Published: (2025-02-01)