Sentence examples for multivariable ordinal regression from inspiring English sources
For each of 10,000 bootstrap samples, a multivariable ordinal regression model was computed.
In the multivariable ordinal regression model, adjusted for age, sex and center, BMI and smoking remained significantly associated with PD (see Table 5).
Multivariable ordinal regression revealed 3 key predictors of satisfaction with web-based training: Instructional Design Effectiveness, Website Usability and Course Usefulness.
All predictors were then tested in a multivariable ordinal regression model with overall satisfaction used as the ordinal response Y variable.
We then investigated whether accounting for any observed clustering confounded associations between explanatory variables and the tick population index estimated by the multivariable ordinal regression analysis described above.
Two multivariable ordinal regression models were performed to determine associations between AFP, GGT, and APRI (AST/PLT ratio) and stages of inflammation and fibrosis.
Multivariable ordinal logistic regression analysis was conducted to determine independent predictors of increasing severity of CIN.
Multivariable ordinal logistic regression analysis was performed using to SAS (version 9.1.3, SAS, Cary, NC), to evaluate the association between the 72-gene predictive index and radiographic response.
We evaluated the predictors of increasing grade (severity) of CIN (on the ordered outcome variable: no CIN, CIN1, CIN2, and ≥CIN3) using bivariate (unadjusted) and multivariable ordinal logistic regression analyses.
The independent predictors of increasing severity of CIN as revealed by a proportional odds model using multivariable ordinal logistic regression included (i) currently receiving antiretroviral therapy [adjusted odds ratios (aOR): 2.24 (1.17, 4.26), p = 0.01] and (ii) presence of cervical high-risk HPV-DNA [aOR: 1.93 (1.13.28.28), p = 0.02].
The multivariable ordinal logistic regression met the assumptions of proportional odds and lack of multicollinearity.
