Background:To estimate cardiovascular and cancer death rates by regions and time periods.Design:Novel statistical methods were used to analyze clinical surveillance data.Methods:A multicenter,population-based medical...Background:To estimate cardiovascular and cancer death rates by regions and time periods.Design:Novel statistical methods were used to analyze clinical surveillance data.Methods:A multicenter,population-based medical survey was performed.Annual recorded deaths from cardiovascular diseases were analyzed for all 195 countries of the world.It is challenging to model such data;few mathematical models can be applied because cardiovascular disease and cancer data are generally not normally distributed.Results:A novel approach to assessing the biosystem reliability is introduced and has been found to be particularly suitable for analyzing multiregion environmental and healthcare systems.While traditional methods for analyzing temporal observations of multiregion processes do not deal with dimensionality efficiently,our methodology has been shown to be able to cope with this challenge.Conclusions:Our novel methodology can be applied to public health and clinical survey data.展开更多
文摘Background:To estimate cardiovascular and cancer death rates by regions and time periods.Design:Novel statistical methods were used to analyze clinical surveillance data.Methods:A multicenter,population-based medical survey was performed.Annual recorded deaths from cardiovascular diseases were analyzed for all 195 countries of the world.It is challenging to model such data;few mathematical models can be applied because cardiovascular disease and cancer data are generally not normally distributed.Results:A novel approach to assessing the biosystem reliability is introduced and has been found to be particularly suitable for analyzing multiregion environmental and healthcare systems.While traditional methods for analyzing temporal observations of multiregion processes do not deal with dimensionality efficiently,our methodology has been shown to be able to cope with this challenge.Conclusions:Our novel methodology can be applied to public health and clinical survey data.
