“…To study the association between the financial crisis and changes in suicide rates in Spain, we used interrupted time series analysis (ITSA). RESULTS: Our findings confirm that suicides increased after the 2011 recession, but remained moderately constant after the 2008 economic downturn. …”
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“…On interrupted time series analysis, PDMP implementation was not associated with a significant decrease in the monthly rate of opioid prescriptions (1.27% change post-PDMP, p = 0.4). …”
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“…STUDY DESIGN: Time series analysis. METHODS: Time series analysis of the daily number of COVID-19 deaths was performed using non-linear Poisson mixed regression models. …”
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“…Moreover, this study highlighted the reduction of time-series data for examining interesting traits and future application of time-series analysis in various HTPPs.…”
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“…METHODOLOGY/PRINCIPAL FINDINGS: We conducted a retrospective data analysis of the number of Chagas serology tests performed at a community health center before and after information sessions for clinicians. A time series analysis was conducted focusing on the Adult and Family Medicine Departments at East Boston Neighborhood Health Center (EBNHC). …”
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“…The median monthly carbapenem-DOTs during pre-intervention and intervention were 28.4 and 10.0, respectively. Time-series analysis showed significant level changes after intervention: − 10.0 DOTs (p = 0.02). …”
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“…Four oximetry analysis approaches were applied: desaturation characteristics, time series analysis, power spectral density, and non-linear analysis. …”
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“…An interrupted time series analysis using a Prais-Winsten linear regression model, including terms for lockdowns and excess mortality determined VL trends. …”
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“…We conducted an interrupted time series analysis of monthly referrals to and use of Quitline for Aboriginal and Torres Strait Islander peoples. …”
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“…Using quarterly data collected for the Health Care Financing Administration (HCFA), a pooled cross-sectional time series analysis (1991:4-1995:2) estimates the effect of eligibles' program enrollment on expenditure (total, inpatient hospital, outpatient hospital, physicians, prescription drugs, laboratory and X-ray) and utilization measures (outpatient visits, physician visits, prescription drugs). …”
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“…This yields several important properties with broad application, particularly for noise reduction and filtering in signal processing and time series analysis.…”
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“…This cross-sectional study uses interrupted time series analysis of administrative claims data to evaluate trends in infertility and assisted reproductive technology utilization rates, including pattern differences by age, income, or race and ethnicity, among commercially insured US women during the COVID-19 pandemic.…”
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“…Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. …”
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“…The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.…”
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“…Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field.…”
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“…Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the time and computational effort required. …”
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“…Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. …”
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“…Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation. …”
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“…Though the application of the hospital morbidity is very limited due mainly to the biasing aspect of the data, some important uses can be made by formulating a norm of hospital disease pattern in investigating the deviation of a hospital's patients morbidity or in time-series analysis of such morbidity. A most feasible way of establishing a representative norm of inpatients morbidity from the hospital statistics is to use the modal rank distribution of disease categories according to the magnitude of its relative proportion. …”
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“…The evaluation of infectious and noninfectious disease management can be done through the use of a time series analysis. In this study, we expect to measure the results and prevent intervention effects on the disease. …”
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