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1
We
examined
associations
between pairs of clinical features in individual affected probands.
2
Using linear regression, we
examined
associations
between hospital characteristics and risk-adjusted home-time.
3
Objectives: This study
examined
associations
of asthma with school commuting time.
4
We
examined
associations
between average alcohol consumption, heavy episodic drinking and cardiorespiratory fitness.
5
We also
examined
associations
between the occurrence of individual features in affected relatives.
6
We
examined
associations
between concurrency and sociodemographic characteristics and risk behaviors.
7
Multivariate logistic regression
examined
associations
between relationships and SI, controlling for significant covariates.
8
Multiple logistic regression analyses
examined
associations
between sleep, mental health outcomes and burnout.
9
Logistic regression models
examined
associations
among genetic ancestry, socioeconomic characteristics, and lung cancer.
10
Methods: Multinomial logistic regression
examined
associations
between hookah and cigarette use and tobacco-related attitudes.
11
We
examined
associations
between recent STI testing and campaign awareness.
12
Linear regression analyses
examined
associations
between risk factors and distress.
13
Objectives: We
examined
associations
between childhood intelligence and hospital admissions for injuries in adulthood.
14
This report
examined
associations
between cognitive performance and inflammation induced by exercise and vaccination.
15
We
examined
associations
for the total study population and subgroups stratified by cancer stage.
16
Logistic regression models
examined
associations
between HIV status, HAART use, and intention to have children.
examined
associations
examined
examine
association