Sentence examples for binary regression parameters were from inspiring English sources

Briefly, cell lines selected from the NCI-60 for the Affymetrix HG-U95 based Av2 predictors[4] were used in the HG-U133A-based docetaxel and etoposide predictors, multiple t-tests were applied on the dataset using statistical package R (version 2.5.1), and the binary regression parameters were adjusted to achieve optimal cross-validation accuracy.

Binary data were evaluated via contingency table analysis, and the relationships between binary outcomes and other parameters were assessed by logistic regression analysis.

Binary regression models were applied for the multivariate analysis.

All these parameters were binary variables.

The lifestyle parameters were evaluated using multiple hierarchical regression and binary logistic regression.

Independent associations with clinical and pathological parameters were sought using backward stepwise Binary Logistic Regression (BLR) and Cox's Regression (CR) analysis.

The intercept and slope parameters were estimated by linear regression and the seasonal cycle by harmonic regression.

Binary logistic regression was performed to investigate whether any of the treatment-related or clinical parameters were associated with aortic stenosis or new onset valvular regurgitation.

Parameters were scaled, and the predictive ability of the continuous variables was evaluated by multiple binary logistic regression with the Wald statistic and by multiple linear regression analysis refined by stepwise selection.

To compare the predictive value of cortisol and the CRB-65 score, a binary logistic regression model of both parameters was used and the predicted probability derived from that model was included into the ROC-curve analysis.

In addition univariate binary logistic regression models were calculated of CSF parameters in each patient group.