Sentence examples for binary outcome was used from inspiring English sources

The normality of residuals and the similar pattern of significance of variables present in the multivariable models when the binary outcome was used imply the suitability of the data to this type of analysis.

A bivariate analysis was performed in which index patient or control child status in the household was used as the single predictor, and a binary outcome was used to determine whether household members developed a Shigella infection.

A generalized estimating equation for repeated measures with binary outcome was used to examine the association between working hours (five categories; 20 35, 36 40, 41 52, 53 68 and ≥69 h) and SRH (two categories; poor and good health), considering possible confounders and serial correlation.

Generalised estimating equations with a binary outcome were used to investigate whether quartiles of neighbourhood greenspace were associated with type 2 diabetes, with a term for clustering by postcode.

A log-binomial model for binary outcomes was used to estimate relative risks (RRs).

An unpaired t-test (for mean outcomes) and logistic regression (for binary outcomes) was used to test for significant differences between sub-categories of covariates.

The Wilcoxon two-sample test for continuous outcomes and Fisher's exact test for binary outcomes were used.

Generalised estimating equations for longitudinal binary outcomes were used to examine the potential influence of missing data.

The Wilcoxon test and McNemar test (for binary outcomes) were used to assess changes in risk factor categories between baseline and the 1-year follow-up.

Generalized linear models (GLMs) for binary outcomes were used to estimate relative risks (RRs) and 95% confidence intervals (CIs) for associations between increasing levels of each OC and rapid early growth (Zou 2004).

Since this does not take time dependence of events into account, binary outcome was also used at four years after surgery adapting methods for time-dependent receiver operator curve (ROC) analysis [ 24].