The prognostic and predictive value of CA-125 regression during neoadjuvant chemotherapy for advanced ovarian or primary peritoneal carcinoma.

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

Anthony Y. C. Kuk, Jialiang Li, A. John Rush, Variable and threshold selection to control predictive accuracy in logistic regression, Journal of the Royal Statistical Society.

Positive and negative predictive values of a diagnostic test are key clinically relevant measures of test accuracy. Surprisingly, statistical methods for comparing tests with regard to these ...

A nomogram model that included log odd of positive lymph node was effective in predicting prognosis of early-onset colorectal cancer (EOCRC).

As defined on TechTarget, logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set.

Predictive models progressing In the past, a lack of data and inadequate processing power rendered predictive analytics infeasible. Times have changed. As technology and innovation drive forward, ...

In treatment of depression with adjunctive aripiprazole, early improvement (week 2) was a significant predictor of remission, and lack of improvement was associated with nonremission.