Sentence examples for models for outcome from inspiring English sources
To investigate the behavior of predictive performance measures that are commonly used in external validation of prognostic models for outcome at intensive care units (ICUs).
Prediction models for outcome of decompressive surgical resection of spinal epidural metastases (SEM) have in common that they have been developed for all types of SEM, irrespective of the type of primary tumor.
A number of tumor classification algorithms based on gene expression profiles have been proposed, using clinical data or known biological class labels to build predictive models for outcome: e.g. the 70-gene signature MammaPrint® [3], the 76-gene signature of Wang et al. [8] and the Genomic Grade Index [4].
However acceptable models for outcome prediction have been difficult to develop [ 1].
Proportional hazards models for outcome were performed with and without BCI and included the known prognostic clinical variables of age, tumor size, tumor grade, and treatment (Tables 3, 4, 5).
Linear regression models for outcome LVM were constructed, including the following parameters in the univariable and multivariable analyses: traditional risk factors (including age, gender, BMI, hypercholesterolaemia, hypertension, smoking, family history and diabetes), CAC and EAT.
Multinomial logistic regression simultaneously estimates multiple binary logistic regression models for outcomes of a nominal variable using one base category.
In this paper, we will consider the use of count models for outcomes in a randomized clinical trial setting.
The figure shows the results of the adjusted models for outcomes showing statistically significant relations with maternal age.
selected in at least 50% of the runs were included in the final models We used logistic regression models for dichotomous outcome variables and survival models for outcomes expressed in terms of survival times.
Seventeen of the 45 validation only studies (17/45; 38%; 95% CI 24%to5353%) evaluated the performance of prediction models for outcomes (intentionally) defined differently from the original outcome definition.
