Sentence examples for variable analyses did from inspiring English sources

Conclusions Our instrumental variable analyses did not support a causal relationship between higher BMI and major depression.

Depressive symptoms, street drug use, and having a domestic partner, which is significant in single variable analyses, did not remain independent predictors in multivariate results.

However, our two instrumental variable analyses did not support a causal relationship between higher BMI and major depression (FTO genotype: coefficient –0.03, 95% CI –0.18 to 0.13, P = 0.73; GRS: coefficient –0.02, 95% CI –0.11 to 0.07, P = 0.62).

Unfortunately, these single variable analyses do not include all relevant patient information.

Other variables analysed did not show a statistically significant difference.

Other variables analysed did not exhibit significant correlations.

The rest of the variables analysed did not significantly influence the TST outcome (Table 4).

The study population was predominantly white (94.4%), and inclusion of the dichotomous ethnicity variable in the analyses did not change the overall risk estimates.

Adding separate team variables to the analyses did not bring up unexpected and different effects compared to adding all team variables in one step.

Including age and regional grey matter density as potential confounding variables into the analyses did not substantially alter the detected correlations between imaging modalities (Table 2).

The following variables included in the analyses did not explain variability in any of the outcomes: age, Karnofsky performance status and "time since starting opioids".