Sentence examples for models to predict the probability of from inspiring English sources

Marginal probabilities were calculated by using the logistic regression models to predict the probability of a surgical episode first at the actual values of all of the independent variables, and then after increasing the values of the key policy variables by 10% in separate simulations.

We used two different logistic regression models to predict the probability of 30-day mortality, both of which consisted of only main effects.

The presence of previous cardiovascular disease should be included in the models to predict the probability of death in elderly patients with septic shock.

Continuous glucose monitoring recorded data have been used to develop models to predict the probability of hypo- and hyperglycemia for both individuals and populations, as well as to inform dosing such as in a closed-loop system.

We constructed three logistic regression models to predict the probability of invasive cancer versus DCIS for the following groups: women ≥ 65 (older group), women 50 64 (middle age group), and women < 50 (younger group).

Using these results, a model to predict the probability of having invasive cancer was developed.

In a final step, we calculated a comprehensive model to predict the probability of receiving acupuncture.

29 Participant-specific propensity scores were estimated from a logistic regression model to predict the probability of statin prescription.

A model to predict the probability of invasion was developed and subsequently simplified to divide patients into two risk categories.

Logistic regression models were developed to predict the probability of success with limited intervention and CDT.

Logistic regression models were used to predict the probability of the eight binary outcomes of interest.