Data visualisation for time series in environmental epidemiology

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Data visualisation for time series in environmental epidemiology.

BACKGROUND Data visualisation has become an integral part of statistical modelling. METHODS We present visualisation methods for preliminary exploration of time-series data, and graphical diagnostic methods for modelling relationships between time-series data in medicine. We use exploratory graphical methods to better understand the relationship between a time-series reponse and a number of p...

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Data visualization for time series in environmental epidemiology

Data visualization has become an integral part of statistical modelling. Exploratory graphical analysis allows insight into the underlying structure of observations in a data set, and graphical methods for diagnostic purposes after model fitting provide insight into the fitted model and its inadequacies. In this paper we present visualization methods for preliminary exploration of time series d...

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Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (...

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Autoencoding Time Series for Visualisation

We present an algorithm for the visualisation of time series. To that end we employ echo state networks to convert time series into a suitable vector representation which is capable of capturing the latent dynamics of the time series. Subsequently, the obtained vector representations are put through an autoencoder and the visualisation is constructed using the activations of the “bottleneck”. T...

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با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

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ژورنال

عنوان ژورنال: Journal of Epidemiology and Biostatistics

سال: 2001

ISSN: 1359-5229

DOI: 10.1080/135952201317225462