“…We conducted a basic interrupted time-series analysis to examine the short-term impacts of a citywide vaccine equity plan, the Protect Chicago Plus (PCP) plan. …”
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“…This historical cohort study (n = 767 147) investigated the short-term and long-term evolution of the weekly trend of psychotropic drugs users in 2020 by performing a Seasonal Trend decomposition time series analysis. Rate of progression of consumers per week increased from 186 in the last week of 2019 to 261 per week in the last week of 2020 (+40.3%). …”
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“…With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. …”
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“…It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates."…”
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“…The meeting built on the Psychometric Society's mission to share quantitative methods relevant to psychology, addressing a diverse set of psychometric topics including item response theory, factor analysis, structural equation modeling, time series analysis, mediation analysis, cognitive diagnostic models, and multi-level models. …”
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“…The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. …”
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“…This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. …”
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“…This ecological study employs secondary data from the Brazilian Ministry of Health about the fall-related hospitalization of people aged 60 years old and over. A time-series analysis was carried out, employing the joinpoint model. …”
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“…Data were analyzed by dynamic structural equation modeling using interrupted time‐series analysis. The single‐session personalized intervention strengthened parental self‐efficacy (small effect: between case standardized mean difference = 0.09) and made refugee parents less vulnerable to post‐migration stressors. …”
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“…METHODS: In this descriptive time series analysis with a quantitative design, sick leaves for mental and behavioral disorders approved by clinics of the Integrated Subsystem for Civil Servant Health Care of Acre were investigated. …”
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“…Our results revealed that H(2) could promote very early M1-to-M2 polarization (on days 2–3 post wounding, 2–3 days earlier than in conventional wound healing), without disturbing the functions of the M1 phenotype. Time series analysis of the transcriptome, blood cell counts, and multiple cytokines further indicated that peripheral blood monocytes were a source of H(2)-induced M2 macrophages and that the functions of H(2) in macrophage polarization were not only dependent on its antioxidant effects. …”
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“…Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARS-CoV-2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. …”
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“…The primary focus of this study is to address the challenge of forecasting volatile stock indices during Covid-19 by employing time series analysis. In particular, the goal is to find the best method to predict future stock price indices in relation to the number of COVID-19 infection rates. …”
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“…In an interrupted time series analysis, we noted a cumulative 15.4% relative increase (63 more deaths) in maternal deaths than anticipated across the 2 COVID-19 waves. …”
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“…The second study utilizes time series analysis to reveal that three network traits (embeddedness, connectivity, and redundancy) at a prior time predict future artifact development trajectory. …”
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“…METHODOLOGY/PRINCIPAL FINDINGS: We developed a new optical imaging-based strategy for quantitative measurement of peripheral tissue perfusion by time-series analysis of local pharmacokinetics of the NIR fluorophore, indocyanine green (ICG). …”
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“…Using natural disaster literature/theory and employing an ecological approach, Jasper, Texas was investigated via an interrupted time series analysis to identify how the community changed as compared to a control community (Center, Texas) on crime, economic, health, educational, and social capital measures collected at multiple pre- and post-crime time points between 1995 and 2003. …”
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“…To better describe the epidemiology of influenza at local level, the time course of pandemic influenza A (H1N1) 2009 in the city of Hong Kong was reconstructed from notification data after decomposition procedure and time series analysis. GIS (geographic information system) methodology was incorporated for assessing spatial variation. …”
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“…When used for EEG time series analysis, the accuracy of component detection and back-reconstruction with a group model is dependent on the degree of intra- and interindividual time and phase-locking of event related EEG processes. …”
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“…Our results suggest that network analysis can be used to distinguish different dynamic regimes in time series and, perhaps more importantly, time series analysis can provide a powerful set of tools that augment the traditional network analysis toolkit to quantify networks in new and useful ways.…”
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