“…MAIN OUTCOMES AND MEASURES: National databases for infectious diseases were used for a time-series analysis of the correlation between viral infections and KD. …”
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“…An interrupted time series analysis was used to assess study outcomes before and after interventions to encourage use of lactated Ringer solution. …”
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“…METHODS: We conducted an interrupted time series analysis of London, Ontario, residents who received a diagnosis of opioid use disorder (OUD) and who entered the SOS program between January 2016 and March 2019, and a comparison group of individuals matched on demographic and clinical characteristics who were not exposed to the program. …”
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“…On the basis of the logistic regression machine learning algorithm (OCLR), pseudo time series analysis, dryness index analysis, and drug target gene analysis were then performed. …”
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“…The book covers a variety of topics of interest from both theoretical and applied perspectives, including: 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 methodologies; 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; and time series analysis tools. This book will be of value for academics, PhD students, practitioners, professionals, and researchers. …”
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“…Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. …”
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“…This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. …”
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“…This study utilizes interrupted time series analysis (ITSA) to explore the shift in Chinese investors' sentiment in response to the uncertainties due to the outbreak of the COVID-19 pandemic. …”
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“…We used time-series analysis and linear regression to investigate the relationship between the annual Niño-3 index from 1980 to 1998 and the annual incidence of visceral leishmaniasis (VL) in the State of Bahia, Brazil, during 1985–1999. …”
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“…The pattern is consistent with both short-term (4-24 hours) and long-term (1-4 days) time-series. Analysis of the putative 3′ mRNA cleavage product showed high GC content immediately after the cleavage point. …”
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“…This nonlinear time series analysis technique separates consciousness from unconsciousness during both remifentanil/sevoflurane and remifentanil/propofol anaesthesia with an overall prediction probability of more than 85%, when applied to spontaneous one-channel EEG activity in surgical patients.…”
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“…Antecedent and consequential relations between sleep patterns and behavior were evaluated with time series analysis. Sleep efficiency and maladaptive behavior were determined for 20 female residents of an institutional care facility for adults with developmental disabilities. …”
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“…The emerging chaotic behaviour in all three cases has been studied and evaluated by the related time-series analysis and the calculation of the strange attractors' invariant parameters.…”
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“…We installed a free usage logging service, Google Analytics, on CUSP and applied time series analysis to compare the usage patterns of the two modes of CUSP: restricted (authenticated) and open access. …”
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“…Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on information of chromosomal contacts from genome-wide chromosome conformation capture (Hi-C) data. …”
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“…In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. …”
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“…Unlike previous works which have concentrated on suppressing the transmission of some data samples by time-series analysis but still maintaining high sampling rates, this work investigates reducing the sampling rate (and sensor wake up rate) and looks at the effects on accuracy. …”
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“…Seasonal decomposition was conducted using the method of structural model of time series analysis with simple moving averages. RESULTS: While the trough season was winter from 2006 to 2016, the peak season was summer between 2006 and 2012, but shifted to spring between 2013 and 2016. …”
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“…In our institution, between January 2010 and December 2017, 15 140 peripherally inserted central catheters (PICCs) were inserted in 12 314 patients. Using time-series analysis to evaluate the annual historical trend (AHT), we observed a significant increase in bloodstream infections (BSIs; AHT = 24; p < 0.001) and associated deaths (AHT = 3; p 0.02) in patient with PICCs. …”
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“…The study informs about the prediction of the refugees’ health needs and demands for services in correspondence to political decision-making during 2015/2016 Western Balkan Refugee Crisis. Time series analysis, linear regression, and correlation analyses modelled the weekly flux of arrivals of more than half a million refugees to Serbia and the European Union, changes in the utilization of health care services, and disease diagnoses. …”
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