Showing 221 - 240 results of 1,176 for search '"time series"', query time: 0.10s Refine Results
  1. 221

    Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

    Published 2023-10-01
    “…Metode prediksi konfensional terkendala pada penyesuaian data terhadap asumsi yang digunakan sehingga diperlukan Metode Weighted Fuzzy Time Series. Meskipun metode WFTS telah terbukti efektif terdapat tantangan dalam meningkatkan akurasi peramalan yang dihasilkan. …”
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    Differential impact of minimum unit pricing on alcohol consumption between Scottish men and women: controlled interrupted time series analysis by Peter Anderson, Eileen F S Kaner, Jakob Manthey, Jürgen Rehm, Amy O'Donnell, Eva Jané Llopis

    Published 2022-07-01
    “…Objective To assess the immediate impact of the introduction of minimum unit pricing (MUP) in Scotland on alcohol consumption and whether the impact differed by sex, level of alcohol consumption, age, social grade and level of residential deprivation of respondents.Design Primary controlled interrupted time series analysis and secondary before-and-after analysis of the impact of introducing MUP in Scotland using alcohol consumption data for England as control.Setting Data from Kantar Worldpanel’s Alcovision survey, a continuous retrospective online timeline follow-back diary survey of the previous week’s alcohol consumption.Participants 53 347 women and 53 143 men.Interventions Introduction of a minimum price of 50 pence per UK unit (6.25 pence/g) for the sale of alcohol in Scotland on 1 May 2018.Main outcome measures Number of grams of alcohol consumed per week, in total, in off-trade (eg, at home) and in on-trade (eg, in pubs, restaurants).Results Primary interrupted time series analyses found that the introduction of MUP was associated with a drop in reported weekly total alcohol consumption of 5.94 g (95% CI 1.29 to 10.60), a drop in off-trade consumption of 3.27 g (95% CI −0.01 to 6.56) and a drop in on-trade consumption of 2.67 g (95% CI −1.48 to 6.82). …”
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    The association between short-term apparent temperature exposure and human coagulation: A time-series study from Beijing, 2014–2023 by Yi Zhang, Tiancheng Wang, Jiaqi Shi, Ying Ma, Nairui Yu, Xinyan Zhou, Pai Zheng, Zhangjian Chen, Guang Jia

    Published 2025-01-01
    “…In this study, we conducted a time series analysis using data from 18,894 participants collected from a health check-up center in Beijing between 2014 and 2023, and validated our findings using 20,549 participants from an andrology outpatient clinic. …”
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    The impact of headache specialist density and the introduction of gepants and lasmitidan on prescriptions for acute migraine treatments: a regression and interrupted time series analysis by Leon S. Moskatel, Rebecca Y. Linfield, Niushen Zhang

    Published 2025-02-01
    “…Second, we conducted interrupted time-series analysis examining the change in patients prescribed the triptans before (2016–2019) and after (2020–2023) the introduction of the gepants and lasmiditan. …”
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    Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario by Mitchell T. Bonney, Yuhong He

    Published 2025-12-01
    “…Results demonstrate how long-term Landsat time-series can be used to better understand historical tree canopy change at local-regional scales.…”
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    Impact of Mobile Health (mHealth) Use by Community Health Workers on the Utilization of Maternity Care in Rural Malawi: A Time Series Analysis by Kachimanga C, Ng’ambi WF, Kazinga D, Ndarama E, Amulele MA, Munyaneza F, Abejirinde IOO, van den Akker T, Kulinkina AV

    Published 2025-01-01
    “…This study evaluates the impact of this app on the uptake of antenatal care (ANC), facility-based births, and postnatal care (PNC), compared to a reference period where CHWs provided the same services without mHealth, using the interrupted time series analysis.Patients and Methods: Using aggregated monthly data and segmented quasi-Poisson regression models, we compared the effects of mHealth on selected maternal health outcomes. …”
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