No correlation between health care expenditure and mortality in the European Union

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dc.contributor.authorMwoya, Byaro
dc.contributor.authorAbel, Kinyondo
dc.date.accessioned2018-09-03T09:24:29Z
dc.date.available2018-09-03T09:24:29Z
dc.date.issued2018-09
dc.description.abstractThe correlation analysis in time series has received considerable attention. Its use plays an important role in the social sciences, finance and medical sciences. Spearman's or Pearson correlation coefficients are the most commonly used for estimation. The assumption such as stationarity makes the validity of time series correlation coefficients.en_US
dc.identifier.doihttps://doi.org/10.1016/j.ejim.2018.04.021
dc.identifier.urihttp://hdl.handle.net/20.500.11810/4751
dc.language.isoenen_US
dc.publisherEuropean Journal of Internal Medicineen_US
dc.subjectTime series data, Correlation, stationary and non-stationary dataen_US
dc.titleNo correlation between health care expenditure and mortality in the European Unionen_US
dc.typeJournal Article, Peer Revieweden_US
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