A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Odds of SBC were tested for various risk factors individually using univariate logistic regression. In addition, a multivariate regression model was developed to test the odds of developing SBC while ...

The model is a simultaneous version of the multivariate logit model, and can be estimated by maximum likelihood. An example is presented, dealing with the prediction of occupation and industry of ...

Disease duration, disease activity, osteoporosis, and CRP levels were identified as predictors of MCI among older patients with RA.

This paper estimates a nested logit model for space heat and water heat choice using data from the 1980 Pacific Northwest Energy Survey (PNW). The estimated structure involves six alternative space ...