Statistical analysis of the relationship between cancer and associated diseases
This paper considers the problem of searching for dependences between the cancer occurrence and associated diseases. A statistical method that yields blocks of diseases with the most significant influence on cancer morbidity is described. Based on American data on cause-specific mortality, we select the diseases that have the maximum differences between the distributions of associated diseases among people who died from cancer or have cancer as an associated disease and among people who did not have cancer. A medical interpretation of the obtained results is discussed.
Introduction. A priority task of Russia’s state policy is to increase life expectancy (LE) up to 78 years by 2024. In the Russian North, the task is very ambitious. Aim of this study - to identify a combination of ages and causes of death, which is able to ensure an increase in life expectancy in the northern regions of Russia to the level of 78 and 80 years in the coming years. Material and methods. The study used data from the Federal State Statistics Service, Statistics Finland and the international Human Mortality Database and WHO Mortality Database. The contribution of mortality from different classes of causes to the growth of life expectancy was evaluated using the decomposition method. The mortality rates of the northern regions of Russia were compared with those of Moscow, Finland and the hypothetical world population. Results. Simultaneous mortality reduction from the circulatory diseases and external causes of death is the main source for increasing LE in the near future in the nothern regions of Russia. The priority of reducing mortality from neoplasms instead of external causes will not lead to a planned LE increase by 2024 and even by 2030. Conclusions. The epidemiological transition in the northern regions of Russia remains incomplete. The priorities for reducing mortality today are not able to lead to the target life expectancy in the northern regions of Russia.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.
Qualitative research of experience of authentic life by people with cancer diseases is described. Basic possibility of experience of full, authentic life in presence of a deadly cancer disease is shown. A number of substantial characteristics of experience by such people of authentic life is allocated.
A form for an unbiased estimate of the coefficient of determination of a linear regression model is obtained. It is calculated by using a sample from a multivariate normal distribution. This estimate is proposed as an alternative criterion for a choice of regression factors.