A binary logistic regression model with complex sampling design of unmet need for family planning among all women aged (15-49) in Ethiopia | Zendy

Demeke Lakew Workie | Zendy; Dereje Tesfaye Zike | Zendy; Haile Mekonnen Fenta | Zendy; Mulusew Admasu Mekonnen | Zendy

Open Access

A binary logistic regression model with complex sampling design of unmet need for family planning among all women aged (15-49) in Ethiopia

Author(s) -

Demeke Lakew Workie,

Dereje Tesfaye Zike,

Haile Mekonnen Fenta,

Mulusew Admasu Mekonnen

Publication year - 2017

Publication title -

african health sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.391

H-Index - 44

eISSN - 1729-0503

pISSN - 1680-6905

DOI - 10.4314/ahs.v17i3.6

Subject(s) - family planning , medicine , unintended pregnancy , logistic regression , marital status , stratified sampling , residence , demography , multistage sampling , gerontology , environmental health , population , pathology , sociology , research methodology

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.

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