Sentence examples for using multiple linear and from inspiring English sources
However, we explored intervention effects on customer satisfaction, perceptions, and behaviors, using multiple linear and logistic regression models.
Associations between post-treatment outcomes and predictor variables will be examined, using multiple linear and logistic regression modeling techniques.
These were estimated using multiple linear and logistic regression models with the age variable centred around the mean age value.
The relationship between blood pressures and size at birth were examined using multiple linear and logistic regression models for continuous and binary birth size outcomes, respectively.
Analyses to determine effectiveness were performed using multiple linear and logistic regression, with the follow-up outcome measure as the dependent variable.
Fasting lipid profiles were compared between youth with type 1 diabetes (stratified according to categories of optimal [A1C <7.5%] and suboptimal [A1C ≥7.5%] glycemic control) and healthy nondiabetic youth, using multiple linear and logistic regression.
We used multiple linear and logistic regression to adjust for confounders.
For comparison of baseline variables we used multiple linear and logistic regression models.
We used multiple linear and logistic regression analyses to model the relationships between adult female reproductive system characteristics (e.g. ovarian morphology, menstrual cycle) and two measures of AGD [anus-fourchette (AGDAF) and anus-clitoris (AGDAC)] in 100 college-age volunteers in Spain.
The methods consisted of the following tasks: firstly, the implementation of word bigrams; secondly, the implementation of combined models of unigrams and bigrams using multiple linear regression; and, finally, the addition of an adjustment step after the score attribution taking into consideration the average of the words of the answers.
The data analysis comprised (1) the change in periprosthetic BMD from pretest to posttest and (2) the correlations between BMD and the variables isometric maximum voluntary force, lean mass, physical activity (step count), and BMI using multiple linear regression and structural equation modelling (SEM).
