Sentence examples for binary variables will be from inspiring English sources

Therefore, adding CM m does not increase the number of binary variables in the UC problem, and the total number of binary variables will be less than those in the configuration-based model.

For categorical outcomes, binary variables will be derived and we will use logistic regression to model the odds of improvement in either the intervention or active control group, while adjusting for baseline levels of the outcome of interest.

For the secondary outcomes, modelling with either multiple regression (for continuous variables) or logistic regression (for binary variables) will be employed, adjusting for the same baseline covariates as the primary analysis.

32 The effect of lung protective ventilation compared with conventional intervention in pulmonary complications, new onset arrhythmia and other binary outcome variables will be assessed by Bayesian random-effect models using WinBUGS V.1.4.

The dependent variables will be a binary indicator of pain or sepsis; variation between strata (dental practices) will be fitted as a random effect; differences between study treatments will be fitted as fixed effects.

Immunological variables will be defined as binary variables with a cut-off defined by the limit of detection of the assays (i.e. IL-10) or median level (i.e. IL-8) or as loge-transformed continuous variables.

In regression analysis we will use generalised linear model (GLM) so that different dependent variables will be analysed in different type of model, i.e. linear regression for continuous variables, logistic for binary and multinomial for categorical variables.

Under both methods, a binary predictor variable will be used to indicate intervention versus control status and period of study, gender and age will be adjusted for.

The main outcome variable will be a binary variable for any psychiatric diagnosis, Further analyses for specific diagnoses will only be undertaken where the sample size is sufficient.

To compare the number of visits needed to achieve an ADHD diagnosis (either confirmed or excluded) between groups, Poisson regression with binary group status as the explanatory variable will be implemented.

The within-person slope capturing drinking-smoking concordance will be saved in SPSS, and a regression model (continuous or binary logistic depending on the outcome variable) will be conducted to predict the 1 and 6-month outcome of interest from the within-person slope.