Türkiye'de doğuşta beklenen yaşam süresi için uzunlamasına modeller

World Health Organization (WHO) gives the definition of life expectancy at birth as "the average number of years that a newborn is expected to live if current mortality rates continue to apply". Life expectancy at birth is an important indicator of a country's overall health status and its economic and social level of development. In order for governments to set their policies correctly, it is important to determine factors that affect life expectancy at birth and how they affect it. In this thesis, longitudinal data analyses are used to find out the factors that are related with the life expectancy at birth. Specifically, random effects model, marginal model and transition model are used for these analyses. The results suggest that the most suitable model for the data set that is used is marginal model. According to the constructed marginal model, Life Expectancy at Birth is negatively related with Crude Birth Rate (Per Thousand), Crude Marriage Rate (Per Thousand), Crude Death Rate (Per Thousand) and Infant Mortality Rate (Per Thousand). In addition, when measurement error models are fitted under different assumptions of measurement error levels for these four variables, it is seen that only the significance of Infant Mortality Rate changes.