Sentence examples for multiple tumour characteristics from inspiring English sources

Use of a novel extension of the polytomous logistic regression permitted simultaneous modelling of multiple tumour characteristics.

An extension of the polytomous logistic regression model was used to evaluate heterogeneity in risk factor ORs by multiple tumour characteristics simultaneously (Chatterjee, 2004).

However, associations between these risk factors and nodal status found in the standard polytomous logistic regression models were no longer significant in models considering multiple tumour characteristics simultaneously (Supplementary Tables 5 and 6 online).

The resulting IRS was then compared to multiple different tumour characteristics in order to detect potential correlations.

This gave us a unique cohort, including more than 700 patients from multiple medical centres, providing information on patient and tumour characteristics, treatment, and outcome.

The process involved in decision-making with respect to surgery in this disease is complex; the final decision being the result of primary tumour characteristics and communication between, and interaction of, multiple individuals each with their own pre-existing characteristics and influences interacting with each other over a series of encounters.

In this section, we evaluate the association between predictors of breast cancer risk and different tumour characteristics simultaneously using a novel extension of polytomous logistic regression to account for multiple disease outcomes (Chatterjee, 2004).

The relationships between biomarkers with patient and tumour characteristics were examined with the Kruskal Wallis test, a non-parametric method for examining differences among multiple groups.

We used frequencies with χ-tests, as well as polytomous multiple logistic regression to estimate odds ratios (OR) with 95% confidence intervals (CIs) for the associations between BMI groups and tumour characteristics, with one class of each tumour characteristic as control group and the other(s) as outcome(s).

Tumour characteristics are summarised in Table 1.

Patients and tumour characteristics are summarised in Table 1.