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  1. 1401
    “…METHODS: We estimate and compare four analytical methods: Interrupted time series analysis, Difference-in-Differences, Propensity Score Matching Difference-in-Differences and the Synthetic Control method. …”
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    Online Artículo Texto
    A comparison of four quasi-experimental methods: an analysis of the introduction of activity-based funding in Ireland
  2. 1402
    por Palma, Wilfredo
    Publicado 2007
    “…His research interests include time series analysis, prediction theory, state space systems, linear models, and econometrics.…”
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    Long-memory time series: theory and methods
  3. 1403
    por SAS Institute
    Publicado 2018
    “…JMP 14 Predictive and Specialized Modeling provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. …”
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    JMP 14 predictive and specialized modeling
  4. 1404
    “…The popularity is performed based on the data access history and metadata, and uses machine learning techniques and time series analysis methods.…”
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    GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets
  5. 1405
    “…The book is written on a level accessible to a broad audience and includes a wealth of examples; hence it can also be used as a textbook for undergraduate and postgraduate courses on time series analysis and signal processing.…”
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    Singular spectrum analysis with R
  6. 1406
    “…A quasi-experimental research design with controlled interrupted time series analysis was applied. The number of monthly calls reporting domestic violence was the outcome variable, while the sex of the callers was the treatment variable. …”
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    Online Artículo Texto
    Behind closed doors: Exploring the impact of COVID-19 related lockdown on domestic violence in Peru
  7. 1407
    “…METHODS AND FINDINGS: We studied monthly data, spanning from 1991 to 2001, of CL incidence in Costa Rica using several approaches for nonstationary time series analysis in order to ensure robustness in the description of CL's cycles. …”
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    Climate Cycles and Forecasts of Cutaneous Leishmaniasis, a Nonstationary Vector-Borne Disease
  8. 1408
    “…We anticipate that time series analysis will become routine in E&R studies.…”
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    Online Artículo Texto
    Quantifying Selection with Pool-Seq Time Series Data
  9. 1409
    “…Density mapping and linear regression with interrupted time series analysis were used to characterize changes over time nationwide. …”
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    Online Artículo Texto
    Trends in US Kidney Transplantation During the COVID-19 Pandemic
  10. 1410
    por Vestbo, Jørgen
    Publicado 2016
    “…This article illustrates how epidemiology can contribute and shows the different ways of using observational data through three approaches: 1) prospective cohort study design; 2) time series analysis; and 3) a nested case–control design in pharmacoepidemiology. …”
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    Online Artículo Texto
    Natural experiments and large databases in respiratory and cardiovascular disease
  11. 1411
    “…The aim of this study was to investigate if mixed-effects models in combination with time series analysis, process evaluation, and reference group comparisons could be used for evaluating the effects of an organisational-level intervention on employee withdrawal behaviour. …”
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    Methodological approach for measuring the effects of organisational-level interventions on employee withdrawal behaviour
  12. 1412
    por Imai, Chisato, Hashizume, Masahiro
    Publicado 2015
    “…Background: Time series analysis is suitable for investigations of relatively direct and short-term effects of exposures on outcomes. …”
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    Online Artículo Texto
    A Systematic Review of Methodology: Time Series Regression Analysis for Environmental Factors and Infectious Diseases
  13. 1413
    “…We conducted cross-correlation and time series analysis with Japanese daily pneumonia and influenza (P&I) mortality data to help validate our model. …”
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    Online Artículo Texto
    The Role of Influenza in the Delay between Low Temperature and Ischemic Heart Disease: Evidence from Simulation and Mortality Data from Japan
  14. 1414
    “…Methods: Data were analyzed by time series analysis using R software. Three automatic methods (Auto.arima, ETS (Error Transitional Seasonality) and time series linear model (TSLM)) were fitted on the data. …”
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    Suicide Mortality Trends in Four Provinces of Iran with the Highest Mortality, from 2006-2016
  15. 1415
    “…With longitudinal screening and time-series analysis of cellular dynamics, universally observed causal patterns pertaining to dynamical systems, may self-organize in the signaling or gene expression state-space of cancer triggering processes. …”
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    A Review of Mathematical and Computational Methods in Cancer Dynamics
  16. 1416
    “…The trend for future studies is time series analysis and research on the impact of individual air pollutants on specific respiratory disorders in children.…”
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    Online Artículo Texto
    Five Decades of Research Progress in Air Pollution, Children’s Respiratory Health, and Emergency Department Visits: A Bibliometric Analysis
  17. 1417
    “…Here, we apply six computational time-series analysis methods (wavelet coherence, fractal dimension, quadratic entropy, wavelet energy, quantile graphs and visibility graphs) to EEG records from 160 AD patients and 24 healthy controls. …”
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    Computational methods of EEG signals analysis for Alzheimer’s disease classification
  18. 1418
    “…Sequencing and computational technologies, however, have been a limiting factor in performing dense time series analysis of the human microbiome. Here, we present the largest human microbiota time series analysis to date, covering two individuals at four body sites over 396 timepoints. …”
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    Moving pictures of the human microbiome
  19. 1419
    “…Analysis included single variable correlation, graphical time series analysis, and support vector machine (SVM) classification. …”
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    Online Artículo Texto
    A Population Model of Integrative Cardiovascular Physiology
  20. 1420
    por Razvodovsky, Y. E.
    Publicado 2014
    “…Age-standardized sex-specific male and female HTN mortality data for the period 1980–2005 and data on overall alcohol consumption were analyzed by means of ARIMA (autoregressive integrated moving average) time-series analysis. The level of alcohol consumption per capita has been estimated using the indirect method based on alcohol psychoses incidence rate and employing ARIMA time-series analysis. …”
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    Online Artículo Texto
    Contribution of Alcohol to Hypertension Mortality in Russia
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