Sentence examples for variable analysis suggests from inspiring English sources

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).

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.

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.

The cohort indicator variable included in the combined analysis suggests a slightly lower prevalence of all three grades of abnormality in the retrospective cohort, although the difference was statistically significant only for lesser abnormality (retrospective: prospective OR 0.88, CI 0.81 0.96).

The above analysis suggests several variables could be used to predict the hazard situation or accidents experienced while using the cell phone.

The multivariate analysis suggests the variables with the strongest and most consistent association with incidence of skin infections are those reflecting household composition and social process.