Multilevel survival models can be applied where the data have the hierarchical nature. Three common models are used in this case. They are the discrete time survival models with mixed effects, the Cox proportional hazard model with mixed effects and the Weibull survival model with mixed effects. The Egyptian Demographic Health Survey (EDHS 2014) data target 21,762 ever-married women aged 15-49. This article aims to determine the factors that may affect the time from the last birth of a woman to the first use of contraceptives. Due to the hierarchical nature of EDHS data, multilevel survival analysis is employed. The above three models are applied to EDHS 2014 data. The Weibull survival model with mixed effects proved to be the best model to fit the survival time. Moreover, it is found that only 25% of the sampled women have not used contraceptives until almost one year from their last birth. In addition, attaining higher education, increasing the age at first sex and breastfeeding contribute to the more efficient use of contraceptives. In addition, the article recommends enhancing family planning campaigns which have a powerful impact on the behavior of women in Egypt for the optimal use of contraceptives.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.