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  1. 2881
    “…Results suggest that time series analysis of motor activity yields clinically relevant insights on underlying functional states and short-term outcomes in patients with SBI.…”
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    Decoding accelerometry for classification and prediction of critically ill patients with severe brain injury
  2. 2882
    “…Lastly, we use risk ratios to identify disparities in mortality between Black and White mortality rates both in the 2010–2019 period and in 2020. RESULTS: Time-series analysis identified three health districts with significant increases in mortality in 2020, located in metro Atlanta and Southwest Georgia. …”
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    Racial disparities for COVID19 mortality in Georgia: Spatial analysis by age based on excess deaths
  3. 2883
    “…The RSV for rhinosinusitis-related terms and more general search terms increased with each passing year indicating constant interest in rhinosinusitis. Cosinor time series analysis revealed inquiry peaks in winter months for all five specific rhinosinusitis-related search terms independent from the hemisphere. …”
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    Annual trends in Google searches provides insights related to rhinosinusitis exacerbations
  4. 2884
    “…We used interrupted time series analysis to evaluate changes in monthly volume of MOUDs in prisons and jails and other types of facilities (hospitals, clinics and long-term care) before (January 2018-February 2020) and during the COVID-19 (March 2020-October 2020) pandemic. …”
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    Changes in the availability of medications for opioid use disorder in prisons and jails in the United States during the COVID-19 pandemic
  5. 2885
    “…Based on purchase data of 79,417 British households from Kantar Worldpanel, we undertake controlled interrupted time series analysis of the impact of COVID-19 confinement introduced on 23(rd) March 2020, and variably applied during 2020, compared to purchases during 2015 to 2019 as controls. …”
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    The COVID-19 alcohol paradox: British household purchases during 2020 compared with 2015-2019
  6. 2886
    “…We first used institutional ICD-9/10 data alongside demographics information and chart reviews to evaluate disease patterns while also exploring emerging hot spot pattern changes over time; we then exploited an emerging time series analysis using temporal trends to assess differing instances of stroke occurrence regionally with hot spots defined as higher than expected incidences of stroke and stroke death. …”
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    Stroke Incidence and Outcome Disparity in Rural Regions of Southern West Virginia
  7. 2887
    “…We conducted a time series analysis using quasi-Poisson distribution to predict cardiovascular mortality in 2020 and compared it with observed numbers and calculated attributable fractions (AFs) with 95% uncertainty intervals, as a whole and by sex, age group and type of cardiovascular disease. …”
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    Changes in cardiovascular mortality in Chile during the COVID-19 pandemic
  8. 2888
    “…An interrupted time series analysis was utilized to evaluate the effects of SHO implementation. …”
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    Impact of “Stay-at-Home” orders on non-accidental trauma: A multi-institutional study
  9. 2889
    “…For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its target recognition, time series analysis and other applications. For this, a new algorithm for multi-temporal PolSAR image segmentation is proposed in this paper. …”
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    Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning
  10. 2890
    por Likka, Melaku Haile, Kurihara, Yukio
    Publicado 2022
    “…METHODS: Post-intervention changes in the monthly ALOS were measured using an interrupted time-series analysis. RESULTS: The level changes observed in the monthly ALOS immediately post-DPC/PDPS were −1.942 (95% confidence interval [CI], −2.856 to −1.028), −1.885 (95% CI, −3.176 to −0.593), −1.581 (95% CI, −3.081 to −0.082) and −2.461 (95% CI, −3.817 to 1.105) days in all ages, <50, 50–64, and ≥65 years, respectively. …”
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    Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay
  11. 2891
    “…Using historical data and time series analysis, we compared intracity travel intensity post China’s implementation of the emergency response with predicted intracity travel intensity without such a response. …”
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    Estimating the Economic Effects of the Early Covid-19 Emergency Response in Cities Using Intracity Travel Intensity Data
  12. 2892
    “…STUDY DESIGN: We conducted an interrupted time series analysis among patients having an abortion at 10 weeks gestation or less at Planned Parenthood health centers in San Diego, Imperial, and Riverside Counties in California. …”
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    Impact of COVID-19 on abortion method under ten weeks gestational age in Southern California()
  13. 2893
    “…We performed a two-stage time-series analysis with distributed lag nonlinear models and multivariate longitudinal meta-regression to obtain temperature–mortality associations by canton, decade, and age group. …”
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    Nationwide Analysis of the Heat- and Cold-Related Mortality Trends in Switzerland between 1969 and 2017: The Role of Population Aging
  14. 2894
    “…METHODS: We conducted an interrupted time series analysis using Swedish total population register data for first-time fathers of children born before (1992–1994) and after (1995–1997) the reform (n=198 589). …”
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    Psychiatric consequences of a father’s leave policy by nativity: a quasi-experimental study in Sweden
  15. 2895
    “…Linguistic inquiry and word count (LIWC), neural embedding-based topic modeling, and time series analysis were utilized to build time series feature sets with lagging one, three, seven, and 14 days. …”
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    Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method
  16. 2896
    “…METHODS: An interrupted time-series analysis was used to evaluate the changes in the EE before and after 2009 in China. …”
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    Impact of new health care reform on enabling environment for children’s health in China: An interrupted time-series study
  17. 2897
    “…However, it has long been known in the field of time series analysis that regressions of “non-stationary” or “trending” variables are, in general, statistically inconsistent and often spurious. …”
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    Could detection and attribution of climate change trends be spurious regression?
  18. 2898
    por Majeed, Haris, Floras, John S.
    Publicado 2022
    “…METHODS: A monthly time series analysis (June–July, 2001–2015) was performed on sex-specific CVD deaths in England and Wales of adults aged 60–64 and 65–69 years. …”
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    Warmer summer nocturnal surface air temperatures and cardiovascular disease death risk: a population-based study
  19. 2899
    por Son, Kyung-Bok
    Publicado 2022
    “…We determined the number of active primary care businesses from 2019 1Q to 2021 1Q on a quarterly basis, and conducted interrupted time series analysis to estimate the effects of COVID-19 on this sector. …”
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    The impact of COVID-19 on the number of active small primary care businesses by severity of the pandemic: evidence from South Korea
  20. 2900
    “…METHODS AND ANALYSIS: We conduct a pragmatic, prospective, single-centre, before–after uncontrolled study with an interrupted time-series analysis 12 months before and 12 months after the introduction of the CDSS for antibiotic stewardship (APSS) and ESS for infection surveillance (ZINC). …”
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    Evaluating antibiotic stewardship and healthcare-associated infections surveillance assisted by computer: protocol for an interrupted time series study
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