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  1. 2661
    “…We tested this hypothesis with nonlinear time series analysis to reverse-engineer (reconstruct) state-space dynamics from fifteen experimental rill-bed profiles analyzed in previous work. …”
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  2. 2662
    “…We examined changes in availability, utilization, defined daily dose cost (DDDc), and affordability of the medicines using descriptive statistics and controlled interrupted time series analysis, measuring utilization by defined daily doses (DDDs). …”
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  3. 2663
    “…METHODS: Maternity Grant introduction and universalisation were evaluated as distinct natural experimental events, using interrupted time series analysis. The outcome was IMR per 1000 live births. …”
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  4. 2664
    “…A comparison analysis of pre and co lockdown periods reveal that the concentration of SPM values during lockdown (mean SPM 8.01 mg/l) is lower than that of pre-lockdown (10.03 mg/l). The time series analysis of last five-year data from 2015 to 2020 also shows an average decrease of 43% in SPM concentration during lockdown period compared to the last five-year average value of 9.1 mg/l. …”
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  5. 2665
    “…The difference between expected (estimated using the vector autoregressive method) and observed number of cases diagnosed in 2020 was estimated using generalized estimating equation under assumptions of the Poisson distribution for count data. Interrupted time series analysis was used to compare changes in the number of records processed by registrars each month of 2020. …”
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  6. 2666
    “…A pretest-posttest time series analysis compared the two periods. Differences in clinical outcomes, demographics, comorbidities, signs and symptoms, laboratory findings, Aeromonas antibiotic susceptibility, and antibiotic regimens were compared between the two periods. …”
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  7. 2667
    “…Data were retrieved from the KBV registry of patients who underwent outpatient ophthalmic surgery in Germany from 2017 to 2019 and from Statista GmbH from 2010 to 2020 for corneal refractive surgery. Time Series analysis of ISQ was analyzed from 2004 to 2020 and correlated with healthcare system data using bivariate correlation analysis. …”
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  8. 2668
    “…Meanwhile, the immune genes in the elderly giant pandas changed considerably, including genes involved in innate immunity and adaptive immunity such as PLSCR1, CLEC7A, CCL5, CCR9, and EPAS1. Time series analysis found that giant pandas store glycogen by prioritizing fat metabolism at age 11, verifying changes in the immune system. …”
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  9. 2669
    “…In the seasonal pattern obtained by time series analysis of the average PSP toxicity, the autumn-winter peak was only maintained (and very reduced) in the southern rías, indicating that this peak is seasonally much less important than the summer peak. …”
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  10. 2670
    “…The impact of each intervention was assessed at eight time points during each intervention and compared to a pre‐intervention baseline period using trend and time‐series analysis. RESULTS: A total of 1611 PIVC insertions were surveyed over 42 time points. …”
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  11. 2671
    “…Using monthly time series data for 33 months (from April 2019 to December 2021), the time series analysis was done to bring out the pattern of reporting, nature and form of DV. …”
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  12. 2672
    “…An interrupted time series analysis (ITS) and a quasi-experimental difference-in-difference (DID) analysis were performed to examine the outcomes among the control (individuals without health insurance) and treatment groups (individuals with health insurance) after the COVID-19 pandemic. …”
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  13. 2673
    “…A complete age structure was noted, and the survival curve was classified as Deevey type II. According to time series analysis, the population is estimated to increase in the future, specifically of medium and large individuals. …”
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  14. 2674
    “…Trends in industry payments during the COVID-19 pandemic were evaluated by interrupted time series analysis with generalized estimating equation models. …”
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  15. 2675
    “…Trends in general payments during the COVID-19 pandemic were evaluated by interrupted time series analysis with monthly and yearly payments at the physician level. …”
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  16. 2676
    “…Commonly used time-series analysis such as autoregressive moving average model is inappropriate for such data and may arrive at biased results. …”
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  17. 2677
    “…An interrupted time series analysis was conducted on aggregated monthly enrollment of children on the platform (2016–2021) and their pneumococcal immunization series completion rates (2016–2020). …”
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  18. 2678
    “…To improve the success of this programme, an analysis of past data of this population was undertaken to understand the causes of its past decline. A time series analysis was applied, using annual spring male census data recorded between 1967 and 2016. …”
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  19. 2679
    “…In the first stage, we used time series analysis to determine the impact of POs (versus non-PO periods) on multiple health outcomes in each power operating division in New York State, 2001–2013. …”
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  20. 2680
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