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  1. 1661
    por Ellis, Alicia M, Post, Eric
    Publicado 2004
    “…BACKGROUND: Research on the ecological consequences of global climate change has elicited a growing interest in the use of time series analysis to investigate population dynamics in a changing climate. …”
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    Population response to climate change: linear vs. non-linear modeling approaches
  2. 1662
    por Gasparrini, Antonio
    Publicado 2014
    “…In this contribution, I illustrate a general statistical framework for such associations, established through the extension of distributed lag non-linear models, originally developed in time series analysis. This modeling class is based on the definition of a cross-basis, obtained by the combination of two functions to flexibly model linear or nonlinear exposure-responses and the lag structure of the relationship, respectively. …”
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    Modeling exposure–lag–response associations with distributed lag non-linear models
  3. 1663
    “…Results: We have updated maSigPro to support RNA-seq time series analysis by introducing generalized linear models in the algorithm to support the modeling of count data while maintaining the traditional functionalities of the package. …”
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    Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series
  4. 1664
    “…We compared Internet query data for foodborne illness syndrome–related search terms from the most popular 5 Korean search engines using Health Insurance Review and Assessment Service inpatient stay data for 26 International Classification of Diseases, Tenth Revision, codes for foodborne illness in South Korea during 2010–2012. We used time-series analysis with Seasonal Autoregressive Integrated Moving Average (SARIMA) models. …”
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    Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness
  5. 1665
    “…Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortcomings. …”
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    Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research
  6. 1666
    “…This study investigated the effects of climatic variables, particularly, rainfall and temperature, on malaria incidence using time series analysis. Our preliminary analysis revealed that malaria incidence in the study area decreased at about 0.35% annually. …”
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    A Weather-Based Prediction Model of Malaria Prevalence in Amenfi West District, Ghana
  7. 1667
    por Liao, Chen-Mao, Lin, Chih-Ming
    Publicado 2017
    “…With stratification over three income levels, an interrupted time-series analysis examining the effects of the crisis and taxation reduction on incidence rates of hospitalization for alcohol-attributed diseases (AADs) was employed. …”
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    The Effects of the Global Economic Recession and a Reduced Alcohol Tax on Hospitalizations Due to Alcohol-Attributed Diseases in Taiwan
  8. 1668
    “…Investigating suicides following the death of Robin Williams, a beloved actor and comedian, on August 11(th), 2014, we used time-series analysis to estimate the expected number of suicides during the months following Williams’ death. …”
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    Increase in suicides the months after the death of Robin Williams in the US
  9. 1669
    “…This quasi-experimental study investigated the effect of an antibiotic cycling policy based on time-series analysis of epidemiologic data, which identified antimicrobial drugs and time periods for restriction. …”
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    Effects of Antibiotic Cycling Policy on Incidence of Healthcare-Associated MRSA and Clostridioides difficile Infection in Secondary Healthcare Settings
  10. 1670
    “…The results, based on time-series analysis, reveal that the visibility of older workers in the news media is associated with higher levels of age discrimination claims. …”
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    Biased media? How news content influences age discrimination claims
  11. 1671
    “…A Bayesian statistical model was used for time series analysis, considering the monthly average number of events of femoral fractures per day as a dependent variable. …”
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    Seasonal variation of femoral fractures in the state of São Paulo, Southeast Brazil
  12. 1672
    “…A foundation of medical research is time series analysis—the behavior of variables of interest with respect to time. …”
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    Entropy Analysis of High-Definition Transcranial Electric Stimulation Effects on EEG Dynamics
  13. 1673
    “…BACKGROUND: There is need for a coding system for categorizing the plastic surgery conditions to facilitate efficient data exchange, retrieval, research, time-series analysis, clinical audit, insurance and legal purposes. …”
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    New 5-D Coding System for Categorization of Plastic Surgery Conditions
  14. 1674
    “…These results suggest the significance of a time-series analysis for understanding the relationship between the microbial community and host plant physiology.…”
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    Growth Stage-dependent Bacterial Communities in Soybean Plant Tissues: Methylorubrum Transiently Dominated in the Flowering Stage of the Soybean Shoot
  15. 1675
    “…In order to analyze the connections between terrorist attacks and tourists' arrivals, occurred between 2002 and the end of 2016, an Unrestricted Vector Autoregressive model was used for multivariate time series analysis. The main results show that terrorist attacks have a strong impact on tourist arrivals and confirm the existence of terrorism spillover, namely the substitution and generalization effects phenomena.…”
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    The influence of terrorism in tourism arrivals: A longitudinal approach in a Mediterranean country
  16. 1676
    “…We simulated the nerve discharge based on the Chay model of potassium ion channel noise, and used the nonlinear time series analysis method to measure the certainty and randomness of nerve discharge. …”
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    Effect of potassium channel noise on nerve discharge based on the Chay model
  17. 1677
    “…Drawing on a mixture of quantitative and qualitative methods including time-series analysis, network analysis and in-depth close reading, our analysis shows the dissemination of the rumour on Facebook from its obscure origins in pre-existing conspiracist groups through greater uptake in more diverse communities to substantial amplification by celebrities, sports stars and media outlets. …”
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    ‘Corona? 5G? or both?’: the dynamics of COVID-19/5G conspiracy theories on Facebook
  18. 1678
    “…Advanced time series analysis and causality detection techniques have been successfully applied to the assessment of synchronization experiments in tokamaks, such as Edge Localized Modes (ELMs) and sawtooth pacing. …”
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    Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics
  19. 1679
    “…We performed a mixed-effects time-series analysis with time lags on weather and animal parameters, adding a random effect to game management areas. …”
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    Game Animal Density, Climate, and Tick-Borne Encephalitis in Finland, 2007–2017
  20. 1680
    “…This work aims to forecast the PM2.5 concentration levels in various regions of Delhi on an hourly basis, by applying time series analysis and regression, based on various atmospheric and surface factors such as wind speed, atmospheric temperature, pressure, etc. …”
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    A machine learning-based model to estimate PM2.5 concentration levels in Delhi's atmosphere
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