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Nonetheless, cross-sectional time series data analyses can also be plagued by several problems such as heteroskedasticity across panels, serial correlation in the idiosyncratic error terms, unobserved country-specific effects, etc.
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In this mixed methodology study, five single ABA design case studies were utilised, with time series data analysed using simulation modelling analysis.
All single-molecule time series data were analysed using the multidimensional analysis software described previously31.
The fMRI time series data was analysed using statistical parametric mapping, by building block design general linear models which were paradigm prescribed and video based.
Individual time series data were analysed within the framework of a general linear model.
Time series data can be analysed by contrast terms, which were defined by subtracting the control group from the stimulus group at each time point.
Because we used aggregated time series data at population level, our analyses were not affected by clustering bias.
The work presented is promising because it works on raw data, and is able to analyse time series data continuously.
Following the application of this developed model, the estimated annual time series data of each suburb was analysed using Fourier Transformation to appreciate whether any cyclical effects remained, compared with the original data.
We analysed time series data obtained from root hair cells of M. truncatula treated with M Nod factor from S. meliloti.
The HHT algorithm provides a useful and novel approach to analyse time series data in public health area.
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