Results 291 to 300 of about 1,494,547 (346)

Spatiotemporal Heterogeneities in the Causal Effects of Mobility Intervention Policies during the COVID-19 Outbreak: A Spatially Interrupted Time-Series (SITS) Analysis

Annals of the American Association of Geographers, 2023
Although there has been a growing interest in causal inference in geography studies, few studies have incorporated spatiotemporal heterogeneities with causalities. This study conceptualizes different patterns of spatiotemporal heterogeneity in the causal
Wenjia Zhang, Kexin Ning
semanticscholar   +1 more source

The association between recreational cannabis legalization, commercialization and cannabis attributable emergency department visits in Ontario, Canada: an interrupted time-series analysis.

Addiction, 2022
BACKGROUND AND AIMS Recreational cannabis was legalized in Canada in October 2018. Initially, the Government of Ontario (Canada's largest province) placed strict limits on the number of cannabis retail stores before later removing these limits.
D. Myran   +5 more
semanticscholar   +1 more source

Clarifying the interrupted time series study design

BMJ Quality & Safety, 2015
We believe that the use of the term ‘interrupted time series study’ to describe two reports from this year’s February issue of BMJ Quality & Safety is potentially misleading.1 ,2 Putting aside the merits of the studies themselves, we would like to clarify what the interrupted time series design entails to promote a productive conversation of its ...
Theodore, Svoronos, Atle, Fretheim
openaire   +2 more sources

Interrupted Time Series Analysis in Clinical Research

Annals of Pharmacotherapy, 2003
OBJECTIVE: To demonstrate the usefulness of interrupted time series analysis in clinical trial design. METHODS: A safety data set of electrocardiographic (ECG) information was simulated from actual data that had been collected in a Phase I study. Simulated data on 18 healthy volunteers based on a study performed in a contract research facility were ...
Lloyd K, Matowe   +3 more
openaire   +2 more sources

Interrupted Time Series Analysis

2019
Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao
David McDowall   +2 more
openaire   +1 more source

Advancing health information during interhospital transfer: An interrupted time series

Journal of Hospital Medicine, 2023
AbstractIntroductionAlthough the transfer of patients between acute care hospitals (interhospital transfer, IHT) is common, health information exchange (HIE) during IHT remains inadequate, with fragmented communication and unreliable access to clinical information.
Stephanie K. Mueller   +4 more
openaire   +2 more sources

Prescription of anxiolytics, sedatives, hypnotics and antidepressants in outpatient, universal care during the COVID-19 pandemic in Portugal: a nationwide, interrupted time-series approach

Journal of Epidemiology and Community Health, 2021
Background The COVID-19 pandemic has had a significant impact on the population’s mental health. However, its impact on the consumption of anxiolytics, sedatives, hypnotics and antidepressants remains to be evaluated.
Marta Estrela   +6 more
semanticscholar   +1 more source

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