Sentence examples for model for outcomes from inspiring English sources

Assuming a linear paired comparison model for outcomes, we develop a pairing method that maximizes the expected gain in Kullback Leibler information from the prior to the posterior distribution.

Combining ICN1 expression with TNM stage may provide a better predictive model for outcomes of gastric cancer patients.

In the proposed model for outcomes research designed to evaluate practice guidelines, the outcome of interest can be a disease (Table 2).

We review data and principles to help us understand the importance of vision as a model for outcomes assessment in clinical practice and therapeutic trials in multiple sclerosis.

To generate a more sensitive predictive model for outcomes of patients with gastric cancer, we combined ICN1 expression and TNM stage to create a prognostic score system.

The models' characteristics (Table  1) are presented for derivation studies (i.e. studies developing a novel prediction model) and validation studies (i.e. studies evaluating a single predictor or a known model for outcomes other than BPD).

The approach for multivariate Cox modeling was to (1) obtain a model by allowing entry of only genetic features, (2) include all significant interactions after testing all possible pairs of interactions among significant genetic factors selected by multivariate Cox regression, and finally (3) adjust this model for age, ISS, and study site to obtain a final composite model for outcome.

As an example, we define a prognostic model for outcome in childhood acute lymphocytic leukemia with the Cox model and use of a training set of 224 patients.

In addition, a predictive model for outcome was generated.

(For mathematical reasons, herpes simplex virus-related tracheobronchitis or pneumonia could not be included in the model for outcome death).

Potential predictors were used in a stepwise procedure to generate a linear regression model for outcome measurements.