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Our probit regression analysis showed higher BMI was associated with major depressive disorder but no association was found in instrumental variable analysis, suggesting either reverse causality or the existence of important unmeasured confounders not entered in our conventional regression analysis.
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Our instrumental variable analysis suggests different results for cognitive and behavioral development.
First, the negative correlation between education and non-willingness to naturalise, confirmed by the instrumental variable analysis, suggests that the naturalisation procedure may appear complicated and discouraging to people with lower levels of education.
Instrumental variable analysis suggests that low level of education is an obstacle for acquiring citizenship, while higher unemployment rate and lower share of non-citizens at a respondent's place of residence contributes to early naturalisations.
The instrumental variable analysis suggests that prostate cancer risk is reduced by 23% per BMI unit, which would be quite substantial, although confidence intervals around this effect are wide reflecting both the uncertainty in the genotype-BMI association and the uncertainty in the genotype-prostate cancer association.
The instrumental variable analysis suggests that the lower risk of all cause mortality seen in those prescribed varenicline is probably due to residual confounding.
Single variable analysis suggests that within Great Gobi A SPA wild camels favor areas between large depressions and high mountains, which largely confirms previous observations (Zhirnov and Ilyinsky, 1986).
It is also important to observe that the AUC values decrease as fewer variables are considered in the analysis, suggesting that even the variables selected less frequently by GA contribute to predictive capability.
The data do not indicate any consistent trend towards the risks associated with perinatal variables being attenuated on multivariable analysis, suggesting that controlling for adolescent psychosocial factors does not account for this lack of association.
The fourth most common CRP haplotype, ACCCA, was associated with high PSA level in the categorical analysis, but not in the continuous variable analysis, which suggests that the association is non-linear in nature.
Our analysis suggests variable microbiomes and host-microbiota signatures in the fish intestines in response to starvation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com