Sentence examples for used for binary outcomes from inspiring English sources

Logit models are commonly used for binary outcomes and will not be explained in detail here (see Wooldridge 2003 for details).

#Logistic regression producing odds ratios used for binary outcomes.

Logistic regression was used for binary outcomes and linear regression for continuous outcomes.

Logistic regression was used for binary outcomes and proportional odds logistic regression for ordinal outcomes.

Repeated measures logistic regression was used for binary outcomes to evaluate time-by-treatment interactions.

Logistic regression was used for binary outcomes and model based P values, using likelihood ratio tests.

Multilevel logistic models with robust variance will be used for binary outcome variables and mixed effect Cox model for survival data.

Logistic regression was used for binary outcome variables, and the OR and corresponding 95% confidence interval were reported.

We dichotomised the EQ-5D levels into no problems (ie, level 1 as Y=0) and problems (ie, levels 2 and 3 as Y=1) due to the small number of responses citing level 3. Based on the distribution of the dependent variables, logistic regression was used for binary outcome variables and normal regression was used for VAS with the generalised estimation equation (GEE) method used for repeated measures.

Standard choices of link and variance functions will be specified, according to type of outcome, with linear-normal models used for suitably (ie, homogeneous) continuous outcomes and logit-binomial and log-Poisson models used for binary and count outcomes, respectively.

Survival analysis techniques will be used by using Cox analysis for binary outcomes and generalised models for continuous variables.