Background: Diabetes mellitus as a chronic disease is the most common disease caused by metabolic disorders and it is one of the most important health issues all around the world. Nowadays, data mining methods are applied in different fields of sciences due to data mining methods capability. Therefore, in this study, we compared the efficiency of data mining methods in predicting type 2 diabete...

I estimate a logistic model of mobile communications diffusion to examine the impact of competition on cellular penetration in former socialist countries in Eastern Europe and Central Asia. Not surprisingly, I find that the introduction of competition led to a higher speed of adoption of mobile technology. Perhaps more surprisingly, sequential competition had a greater impact than simultaneous ...

background: unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. in the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population.   methods : in this cross-sectional study, 887 pregnant mothers referring to health centers in khorramabad, iran, in 2012 were selec...

In this paper we present statistical models for text which treat words with higher frequencies of occurrence in a sensible manner, and perform better than widely used models based on the multinomial distribution on a wide range of classification tasks, with two or more classes. Our models are based on the Poisson and Negative-Binomial distributions, which keep desirable properties of simplicity...

The aim of this study is to report on a brief alcohol intervention for preventing drinking during pregnancy. The Women’s Organizations Committee on Alcohol and Drug Issues (WOCAD) in Sweden developed an informational brochure about alcohol during pregnancy, intended to reach pregnant women before their first visit at a prenatal clinic. A randomized controlled trial was conducted between 2004 an...

BACKGROUND It is reported that women in developing countries reach menopause earlier compared to developed countries. This seems to be due to underestimation of age at menopause as pre-menopause women who will reach menopause at older ages are commonly excluded in cross-sectional settings. In this study, we propose an estimation method which can deal with this bias. We also assessed major deter...

Biological processes are full of variations and so are responses to therapy as measured in clinical research. Estimators of clinical efficacy are, therefore, usually reported with a measure of uncertainty, otherwise called dispersion. This study aimed to review both the flaws of data reports without measure of dispersion and those with over-dispersion.EXAMPLES OF ESTIMATORS COMMONLY REPORTED WI...

In this paper, we use multivariate logistic regression models to incorporate correlation among binary response data. Our objective is to develop a variable subset selection procedure to identify important covariates in predicting correlated binary responses using a Bayesian approach. In order to incorporate available prior information, we propose a class of informative prior distributions on th...