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Direct predictors of adolescent Raven's T score based on th..:

Zeba A. Rasmussen (11495230) ; Wasiat H. Shah (11495233) ; Chelsea L. Hansen (11495236)...
https://figshare.com/articles/figure/Direct_predictors_of_adolescent_Raven_s_T_score_based_on_the_structure_identified_in_the_Bayesian_network_/16693273. , 2021

Link: https://doi.org/10.1371/journal.pmed.1003745.g003

RT Journal
T1 <Title>Direct predictors of adolescent Raven's T score based on the structure identified in the Bayesian network</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16693273&Exemplar=1&LAN=DE
				
A1 Zeba A. Rasmussen (11495230)
A1 Wasiat H. Shah (11495233)
A1 Chelsea L. Hansen (11495236)
A1 Syed Iqbal Azam (8737227)
A1 Ejaz Hussain (9331326)
A1 Barbara A. Schaefer (6955322)
A1 Nicole Zhong (11495239)
A1 Alexandra F. Jamison (11495242)
A1 Khalil Ahmed (644913)
A1 Benjamin J. J. McCormick (4268869)
YR 2021
K1 Medicine
K1 Biotechnology
K1 Sociology
K1 Cancer
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 substantial societal change
K1 multivariable bayesian network
K1 diastolic blood pressure
K1 cultural language groups
K1 early childhood experiences
K1 bootstrap samples )
K1 65 %) lived
K1 xlink "> adolescence
K1 speaking english (<
K1 respectively )
K1 education
K1 nonverbal reasoning score
K1 mean age 22
K1 longitudinal cohort study
K1 including parental mental
K1 explore structural relationships
K1 0 – 29
K1 childhood home environment
K1 reported child health
K1 bootstrap samples
K1 xlink ">
K1 speaking english
K1 nonverbal reasoning
K1 primary language
K1 home setting
K1 childhood malnutrition
K1 childhood data
K1 85 %)
K1 5 %)
K1 3 %)
K1 adolescents reported
K1 term impacts
K1 stronger associations
K1 reduced health
K1 range 16
K1 physical health
K1 parental data
K1 new data
K1 n </
K1 maternal education
K1 main limitations
K1 languages spoken
K1 human capital
JF https://figshare.com/articles/figure/Direct_predictors_of_adolescent_Raven_s_T_score_based_on_the_structure_identified_in_the_Bayesian_network_/16693273
LK http://dx.doi.org/https://doi.org/10.1371/journal.pmed.1003745.g003
DO https://doi.org/10.1371/journal.pmed.1003745.g003
SF ELIB - SuUB Bremen

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