“…In strong connection to ordinal time series analysis, the ordinal information is taken into account to derive robust results on the dependence between the two processes. …”
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“…Time series analysis has been an important branch of information processing, and the conversion of time series into complex networks provides a new means to understand and analyze time series. …”
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“…GDP and performs better than traditional time series analysis. We explore the inclusion of predictors such as the yield curve, its latent factors, and a set of macroeconomic variables in order to increase the level of forecasting accuracy. …”
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“…In the latter half of 2020, Los Angeles was dubbed by the media and academicians as the latest epicenter of COVID-19 in the United States. Using time-series analysis on Los Angeles Police Department crime data from 2017 through 2020, this paper tests the economic theory of crime, routine activities theory, social isolation theory, and structural vulnerability theory to determine whether they accurately predicted specific crime rate movements in the wake of COVID-19 in the city of Los Angeles. …”
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“…METHODS: A descriptive epidemiological study based on time series analysis of secondary data from the Notifiable Diseases Information System reported between 1985 and 2012. …”
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“…Antimicrobial use during the coronavirus disease 2019 (COVID-19) pandemic at a tertiary-care center was analyzed using interrupted time-series analysis. Among intravenous antimicrobials, the use of azithromycin and third-generation cephalosporins significantly decreased during the current pandemic. …”
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“…The air pollutant data were obtained from 11 standard urban background fixed air quality monitors. A time-series analysis design and a quasi-Poisson generalized linear regression model combined with a distributed lagged nonlinear model (DLNM) were used to fit the effects of exposure to different meteorological factors and extreme weather on conjunctivitis outpatient visits. …”
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“…For interrupted time series analysis, there were no significant changes in the slope (p = 0.42) and level (p = 0.12) of adequate reporting rate. …”
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“…Moreover, pseudo-time series analysis and cell interaction analysis revealed the differentiation of immune cells and the relationship between immune cells in Moyamoya disease. …”
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“…METHODS: This study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. …”
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“…The interviews were thematically analyzed, and select themes were reframed for quantitative testing. The time-series analysis was conducted using administrative data to explore the extent to which these data supported the themes. …”
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“…CONCLUSIONS: The ARIMA models of time-series analysis were useful in forecasting the number of cases in the endemic areas of Bhutan. …”
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“…Multivariable logistic regression and single-group interrupted time series analysis were used to explore the effects of CDSS. …”
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“…METHODS: A time series analysis on monthly APS intake reports was conducted using administrative data from SC Child and Adult Protective Services between January 2014 and June 2018. …”
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“…The medical records of all parturients who received GA for cesarean delivery were reviewed to collect detailed information. Interrupted time series analysis was used to evaluate the impact of the launch of our obstetric anesthesia team. …”
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“…We compared the median waiting time before and after implementation by conducting an interrupted time-series analysis of the median waiting time per month. …”
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“…The endemic curves and time-series analysis showed that the containment measures were successful in HICs but not in LMICs. …”
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“…METHODS: Retrospective chart review of all women hospitalized for hyperemesis gravidarum with metabolic disturbances between 01/Jan/2002 and 31/Dec/2019 at a university hospital serving nearly 10% of the pregnant population in Norway. Time-series analysis described changes over time and interrupted time series analysis quantified changes in treatment and clinical outcomes related to the EMA warning. …”
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“…The interrupted time series analysis revealed that during the first wave NPIs decreased the number of COVID-19 cases by 64 cases per week. …”
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“…I hope that I have succeeded in presenting the various principles and methods of time-series analysis comprehensively and without error. Comments on errors or suggestions for improvements are welcome.…”
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