“…DESIGN: Population-based, controlled interrupted time series analysis of PPI dispensing claims data for Australian adults from July 2012 to June 2018; we used statin dispensing as a control. …”
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“…Weekly GSVI data were extracted between 04-01-2015 and 04-04-2020. Time series analysis was conducted and state GSVI values were compared with COVID-19 prevalence and unemployment claims. …”
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“…The change in ABHR consumption was analysed by an interrupted time series analysis with a pre-implementation period of 36 months and an implementation period of 60 months. …”
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“…The impact of DOACs introduction on OAC prescribing rates were investigated using interrupted time series analysis (ITS). Factors associated with OAC initiations were also identified using multivariate logistic regression. …”
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“…Descriptive and time-independent output models include analysis of variance and first-order exponential; the descriptive time-dependent output model includes a classical time series analysis and mixed regression. Predictive time-independent output models include machine learning methods and analysis of the HR-based fluctuation-dissipation method. …”
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“…The trajectory of this process has been reproduced by an ARIMA model, and beyond this, non linear methods of time series analysis allowed the identification of a phase transition in the unconscious process of the psychoanalytic therapy under investigation.…”
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“…In addition to measuring DAMaN’s coverage and malarial prevalence in DAMaN pockets, its impact will be estimated using pre-post differences and Interrupted Time Series analysis using 2017 as the “inflection” point. …”
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“…METHODS AND PROCEDURES: Seven concepts which are commonly used in nonlinear time series analysis were investigated in terms of their ability to identify changes in psychological time series: Recurrence Plots, Change Point Analysis, Dynamic Complexity, Permutation Entropy, Time Frequency Distributions, Instantaneous Frequency, and Synchronization Pattern Analysis, i.e., the dynamic inter-correlation of the system’s variables. …”
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“…METHODS: This longitudinal quasi-experimental study uses multiple interrupted time series analysis. Utilisation of healthcare services data was extracted from the National Health Information System in Burkina Faso. …”
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“…We also illustrate prediction of CPV events by rainfall as a covariate. Time-series analysis using ARIMA methods to understand and explore autocorrelation appears to be relatively uncommon in veterinary epidemiology. …”
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“…Five successive steps were followed to carry out the analysis: (1) identification of relevant key explanatory variables; (2) application of data dimensionality reduction for eliminating redundant information; (3) utilizing ML models for measuring relative influence (RI) of the explanatory variables; (4) evaluating interconnections between and among the key explanatory variables and COVID-19 case and death counts; (5) time series analysis for examining the rate of incidences of COVID-19 cases and deaths. …”
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“…DESIGN: Retrospective secondary data analysis and interrupted time series analysis in order to compare prescribing by non-medical independent prescribers (NMIPs) preimplementation and postimplementation of primary care clusters across Wales. …”
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“…METHODS: We included healthy patients aged 8–22 years, presenting to the pediatric emergency department with syncope between 2009 and 2017. Interrupted time series analysis compared testing rates and length of stay among the pre-EBG, short-term follow-up, and long-term follow-up periods. …”
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“…The quantitative part entailed a review of operational and financial data covering the period before and after the implementation of the reforms. Interrupted time series analysis was used to determine the change in average availability of essential health commodities at health zones. …”
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“…Recently, the spread of new coronaviruses worldwide has affected economic development greatly, leading to more severe stock market fluctuations, so we systematically quantify the short-term effect of stock volatility and CVD events. METHODS: Time-series analysis on the effect of stock volatility and cardiovascular events were concluded. …”
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“…An interrupted time series analysis of the programme outputs was undertaken. …”
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“…DESIGN: This was a retrospective observational study of trends in drug expenses and use in the context of the ZMDP using an interrupted time series analysis. SETTING: Twelve hospitals (three tertiary hospitals and nine secondary hospitals) in Xi’an, which is the capital of Shaanxi Province in Western China. …”
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“…Data included patients’ demographics; injury types, mechanism and injury severity scores, interventions, hospital stay, complications and mortality (pre-hospital and in-hospital). Time series analysis for mortality was performed using expert modeler. …”
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“…A transcriptomic time-series analysis of a selected accession RTC-144 infested with aphids revealed a massive alteration of genes related to specialized metabolism that potentially synthesize non-volatile toxic compounds. …”
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“…An interrupted time-series analysis using segmented regression was performed for all variables. …”
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