Showing 61 - 80 results of 203 for search '"time series analysis"', query time: 0.06s Refine Results
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    Impact of hospital formulary intervention on carbapenem use: a segmented time-series analysis of consumption and a propensity score-matched non-inferiority study of treatment efficacy by Nakaba Okamura, Ayano Katagiri, Tomoya Komori, Kei Kawanabe, Hirofumi Koike, Yukiko Sahashi, Rie Kubota

    Published 2025-01-01
    “…Methods We conducted a segmented time-series analysis to evaluate changes in carbapenem usage, including doripenem, before and after formulary implementation in October 2018. …”
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    New job, new habits? A multilevel interrupted time series analysis of changes in diet, physical activity and sleep among young adults starting work for the first time by Alena F. Oxenham, Tanya Braune, Esther van Sluijs, Hannah Fairbrother, Adam Martin, Eleanor M. Winpenny

    Published 2025-01-01
    “…In line with interrupted time series analysis, models assessed behavioural trends in the period before starting work, the immediate effect of starting work, and changes in behaviour over time after employment. …”
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    Changes in household purchasing of soft drinks following the UK soft drinks industry levy by household income and composition: controlled interrupted time series analysis, March 2014 to November 2019 by Jean Adams, Martin White, Stephen J Sharp, Harry Rutter, David Pell, Steven Cummins, Richard D Smith, Nina Trivedy Rogers

    “…We examined changes in volume of and amount of sugar in purchases of soft drinks according to household income and composition, 19 months following the implementation of the UK soft drinks industry levy.Methods Data were from the Kantar Fast Moving Consumer Goods panel, a market research panel which collects data on weekly household purchases (mean weekly number of households=21 908), March 2014–November 2019. Interrupted time series analysis of volume and sugar purchases was used to estimate absolute and relative differences in the volume and amount of sugar in soft drinks, confectionery and alcohol purchased weekly by household income (<£20 000, £20–50 000 or >£50 000) and composition (presence of children (<16 years) in the household (yes or no)), 19 months after soft drinks industry levy (SDIL) implementation, compared with the counterfactual scenario based on pre-announcement trends and using a control group (toiletries).Results By November 2019, purchased weekly sugar in soft drinks fell by 7.46 g (95% CI: 12.05, 2.87) per household but volumes of drinks purchased remained unchanged, compared with the counterfactual. …”
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