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The risk of death was derived from acute physiology and chronic health evaluation (APACHE) II scores [19] or simplified acute physiology score (SAPS) III [20].
The per-annum risk of non-cancer death was derived from mortality data for women with a median age of 58 years (Australian Bureau Of Statistics, 2010).
Information on the main underlying and up to ten contributing causes of death was derived from the Swedish Causes of Death Register.
The cost of death was derived from the Greek bibliography, and a 3.5% rate was used in order to express the findings of this study in present values.
Information on date and cause of death was derived from data linkage with cancer registry data performed by the West of Scotland Cancer Surveillance Unit.
The non-parametric estimate of the conditional probability of death was derived from the ratio of the cumulative incidence of death and the complement of the cumulative incidence of surgery.
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Finally, causes of death are derived from death certificates, which have recognized inaccuracies applicable to both types of diabetes.
Underlying causes of death were derived and coded by two authors according to ICD-9 with 100% agreement.
Most of data supporting Müller cell death are derived from immortalized Müller cell lines or cultivated human Müller cells.
Absolute, annual non-CVD risk of death were derived by linear interpolation from the UK National mortality statistics for 1998 [ 16].
Causes of death were derived and coded according to the ICD-9 classification (11) by two independent observers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com