Sentence examples for multivariable model building from inspiring English sources

Potential risk factors were screened using univariable logistic regression prior to multivariable model building.

The badger-related, sett-related and herd-related variables which demonstrated the most significant univariable associations with the risk of confirmed herd breakdowns were retained for multivariable model building.

Non-collinear (Pearson correlation r < 0.5) variables associated with IPV (at p < 0.1) were retained for multivariable model building.

Variables were screened in univariable models to determine those to be included in multivariable model building using a critical alpha for inclusion of 0.25.

(2) The next step of the multivariable model building process accounted for the fact that a variable may not be a significant predictor of survival in the Cox's PH model, which imposes a priori the PH and linearity assumptions, but may still have a significant time-dependent or non-linear effect (Abrahamowicz and MacKenzie, 2007).

Further, we performed a multivariable logistic regression model by using a forward loading and backward elimination approach and adjusted the significance level to the numbers of variables introduced into the model following Bonferroni suggestions (0.05/n), where "n" is the number of variables entered into the multivariable model building.

In multivariable model-building, we pursued forward, backward, and the best subset selection strategies, as well as manual strategies.

Data analysis used 3 steps: an initial univariate analysis, a second univariate analysis adjusted for highly significant factors of prior or secondary interest, and a final multivariable model-building analysis.

Exact logistic regression was used for multivariable modeling using a forward stepwise model building approach.

LF guided the model building.

Data analysis and model building.