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

dc.creatorMwoya, Byaro
dc.creatorAbel, Kinyondo
dc.date2018-09-03T09:24:29Z
dc.date2018-09-03T09:24:29Z
dc.date2018-09
dc.date.accessioned2021-05-07T09:40:55Z
dc.date.available2021-05-07T09:40:55Z
dc.descriptionThe 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.
dc.identifierhttp://hdl.handle.net/20.500.11810/4751
dc.identifierhttps://doi.org/10.1016/j.ejim.2018.04.021
dc.identifier.urihttp://hdl.handle.net/20.500.11810/4751
dc.languageen
dc.publisherEuropean Journal of Internal Medicine
dc.subjectTime series data, Correlation, stationary and non-stationary data
dc.titleNo correlation between health care expenditure and mortality in the European Union
dc.typeJournal Article, Peer Reviewed

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