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Variables distribution and association of adolescents ferti..:

Naomi Monari (11938663) ; James Orwa (9132172) ; Alfred Agwanda (9623788)
https://figshare.com/articles/dataset/Variables_distribution_and_association_of_adolescents_fertility_in_Kenya_2014_/18292228. , 2022

Link: https://doi.org/10.1371/journal.pone.0262016.t001

RT Journal
T1 <Title>Variables distribution and association of adolescents fertility in Kenya, 2014</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18292228&Exemplar=1&LAN=DE
				
A1 Naomi Monari (11938663)
A1 James Orwa (9132172)
A1 Alfred Agwanda (9623788)
YR 2022
K1 Medicine
K1 Cell Biology
K1 Biotechnology
K1 Developmental Biology
K1 Cancer
K1 children ever born
K1 379 &# 8211
K1 318 &# 8211
K1 257 &# 8211
K1 2014 data set
K1 18 &# 8211
K1 150 &# 8211
K1 124 &# 8211
K1 discouraging adolescent marriage
K1 adolescent &# 8217
K1 reproductive health policies
K1 15 &# 8211
K1 reduce adolescent fertility
K1 adolescent birth rate
K1 given birth compared
K1 attained secondary education
K1 control adolescent fertility
K1 current contraceptive use
K1 adolescent fertility
K1 given birth
K1 adolescent girls
K1 adolescent childbearing
K1 health survey
K1 contraceptive use
K1 15 years
K1 xlink ">
K1 unintended pregnancies
K1 study established
K1 square test
K1 specific objectives
K1 recommended strategies
K1 policy developed
K1 odds model
K1 marital status
K1 independent variables
K1 decrease early
K1 current age
K1 approximately 29
K1 780 )
K1 19 years
K1 17 years
JF https://figshare.com/articles/dataset/Variables_distribution_and_association_of_adolescents_fertility_in_Kenya_2014_/18292228
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262016.t001
DO https://doi.org/10.1371/journal.pone.0262016.t001
SF ELIB - SuUB Bremen

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