Sentence examples for binary and Normal outcomes from inspiring English sources

This method has previously been described by Julious et al. [ 22] for binary and Normal outcomes, and Parmar et al. [ 27] for survival outcomes.

We used logistic and normal regression models for binary and continuous outcomes, respectively.

Binary and continuous outcomes were analyzed separately.

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.

Statistical analysis: Unadjusted ORs and mean differences were calculated for binary and continuous outcomes, respectively.

Binary and multinomial outcomes were described using the number and percentage endorsing.

The statistical models (for both binary and continuous outcomes) were built as follows.

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.

Logistic regression was used, considering premature birth as an outcome c High risk: binary outcome as normal vs. high risk.

Bayesian semiparametric regression models for evaluating pathway effects on continuous and binary clinical outcomes.

But that doesn't mean that the binary between normal and abnormal will go away, because that's always shifting.