August 14, 2019

Binary Logistic Regression Model on Unmet Need

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Background: Unintended pregnancy related to unmet need is a worldwide problem that affects societies. The main objective
of this study was to identify the prevalence and determinants of unmet need for family planning among women aged (15-49)
in Ethiopia.

Methods: The Performance Monitoring and Accountability2020/Ethiopia was conducted in April 2016 at round-4 from 7494
women with two-stage-stratified sampling. Bi-variable and multi-variable binary logistic regression model with complex sampling
design was fitted.