Sentence examples for multiple regression by from inspiring English sources

We imputed normally distributed variables (including primary outcome data) using multiple regression by ordinary least squares, ordered categorical variables using ordinal logistic regression, and other non-normal variables using predictive mean matching.

The 'U'-shaped shape of the age curve for earache is confirmed using multiple regression by a highly significant quadratic effect of age after taking the linear effect into account (p <.001).

Normally distributed parameters (including primary outcome data) were imputed using multiple regression by ordinary least squares; ordered categorical variables were imputed using ordinal logistic regression and other non-normal variables imputed using predictive mean matching.

These results were supported in a multiple regression by high posterior probabilities for RSB, but not for the larger minimal range size estimate RSA (Additional file 1, Table S8).

For incremental BP point reduction, multiple regression (by ordinary least squares) was used controlling for baseline SABP and all minimisation variables, namely age, sex, general practice, use of three or more hypertension drugs and self-monitoring history.

These correlations were explored by multiple regression, and by path analysis, using LISREL to assess direct and indirect effects upon the factors.

Correlations between variables were studied by simple and multiple regression analysis by using square root transformation if distribution was skewed.

For each of these multiple regression analyses by age group and culture, the unstandardized beta coefficient (effect size) and corresponding significance P value for each predictor was noted.

Multicollinearity was determined for all multiple regression variables by calculating the tolerance and variance inflation factors.

Association and interaction analysis was performed using multiple regression implemented by the R statistical Language version 2.15.0.

Using a heterogeneous sample of 297 adults, we performed latent multiple regression analyses by means of structural equation modelling.