Determinants of Birth Intervals Using Prentice-Williams-Peterson-Gap Time Model: Tehran Case Study.

Background: Total fertility rate (TFR) in Iran decreased from the year 2000 and recently Iran has experienced fertility rates below replacement level. Birth interval is one of the most important determinants of fertility levels and plays a vital role in population growth rate. Due to the importance of this subject, the aim of this study was analyzing three birth intervals using three Survival Recurrent Event (SRE) models.

Analysing First Birth Interval by A CART Survival Tree.

Background: Birth spacing, especially the first birth interval (FBI), is a suitable index to investigate the delayed fertility that results in a low fertility pattern. Non-parametric familiar alternatives to the Cox proportional hazard regression (CPH) model include survival trees that can automatically discover certain types of covariate interactions according to the survival length. The aim of this research is to study FBI influential factors by applying survival trees.

Marital Quality, Loneliness, and Internet Infidelity.

The rapid development of information technology, such as the Internet and social networks, lead to an increasing number of online relationships in the world and caused some problems for families and society. One of these problems is extramarital relationships that occur through the Internet and social networks. The purpose of this study was to investigate the relationship between marital quality and Internet infidelity by considering the role of loneliness.