Sentence examples for models of survival from inspiring English sources

Speakers will discuss the key role local news plays in our democracy, the future of investigative reporting and models of survival and success for local news nonprofits.

At the individual level, Dynamic Energy Budget in Toxicology (DEBtox) theory provides a set of mechanistic models of survival, reproduction and growth continuously as a function of time and exposure concentration, in which the parameters used have clear biological meanings.

In DLBCL, mantle cell lymphoma, and follicular lymphoma, gene expression profiling has also been used to create gene expression-based models of survival, which have identified the biological characteristics of the tumors that influence their clinical behavior.

Models of survival by asbestos exposure did not demonstrate a linear trend; thus, data were stratified into tertiles for subsequent analysis.

Factors within clinical subgroups that were statistically significant in univariate models were included in multivariate logistic regression models of survival to hospital discharge.

19 25 In longitudinal analyses on differential mortality, it is important to control for hidden frailty because not controlling for it, in models of survival analysis, could lead to biased estimates of the effect of social position on mortality risk.

The following factors were evaluated using the Proportional hazard model of Survival analysis, i.e., students' gender; secondary school grades the priority of the program to study (first, second, or third) and the finance source (government-financed or self-finance).

Artificial neural network model of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neck.

This study utilized medical record and interview data from 152 adult cancer patients with various tumor types in a model of survival estimation.

While the methods described in this article works well so far in controlled, simulation experiments, it is the successful modelling of survival curves for real life data set that will be most useful for practitioners.

For statistical analysis of the survival experiments (Exp. 1 4), the Kaplan-Meier model of survival was used, followed by the Tarone-Ware test for pair-wise group comparisons.