Classification of death rate due to women's cancers in different countries

The two most frequently diagnosed cancers among women worldwide are breast and cervical cancers. The objective of the present study was to classify the different countries based on the death rates from sex specific cancers. In this cross-sectional study, we used dataset regarding death rate from breast, cervical, uterine, and ovarian cancers in 190 countries worldwide reported by World Health Organization. Normal mixture models were fitted with different numbers of components to these data. The model's parameters estimated using the EM algorithm. Then, appropriate number of components was determined and was selected the best-fit model using the BIC criteria. Next, model-based clustering was used to allocate the world countries into different clusters based on the distribution of women's cancers. The MIXMOD program using MATLAB software was used for data analysis. The best model selected with four components. Then, countries were allocated into four clusters including 43 [23%] in the first cluster, 28 [14%] in the second cluster, 75 [39%] in the third cluster, and 44 [24%] in the fourth cluster. Most countries in South America were to the first cluster. In addition, most countries in Africa, Central, and Southeast Asia were located to the third cluster. Furthermore, the fourth cluster consisted of Pacific continent, North America and European countries. Considering the benefits of clustering based on normal mixture models, it seems that can be applied this method in wide variety of medical and public heath contexts

[ survey on relationship between personality characteristics and marital satisfaction]

Personality traits are the fundamental factors that can influence the quality of couples' relationships. Several studies have indicated that marital satisfaction has been affected deeply by couples' personality traits. The aim of this study was to investigate the relationship between personality traits of the five factor model and marital satisfaction. Using descriptive-correlation method, 240 married students were selected randomly from Islamic Azad University in Sanandaj. Data were collected by using NEO-five factor criteria, marital satisfaction questionnaire, and a researcher made questionnaire and were analyzed by means of descriptive and inferential statistical tests such as correlation and multiple linear regression. The results of this study showed a significant negative correlation between neuroticism and marital satisfaction, and a significant positive correlation between extroversion, conscientiousness, agreeability with marital satisfaction. Couples' personality traits are significant determinants predicting marital satisfaction