Sentence examples for multivariable survival model from inspiring English sources

We then developed a multivariable survival model to generate the prognostic index.

The multivariable survival model included all histopathologic factors, and the factors were further evaluated using stepwise variable selection.

Time period of diagnosis was included in the multivariable survival model due to clinical significance, though it was not significantly associated with SEP.

Our studies indicate that a multivariable survival model including both molecular markers and standard clinical/pathological markers is significantly superior to a model based on either group of variables alone.

Because the GEMM Kras signature was associated with some prognostic clinical variables (e.g. stage), we also fitted a multivariable survival model with GEMM Kras-like signature, BRAF mutant, KRAS mutant, mucinous status, grade and MSI, within stage-3 patients of the PETACC-3 dataset (stage 2 patients were enriched for relapsed patients, so were not representative of the population).

Multivariable survival models were also run for survival analyses.

We analyzed the benefit of adjuvant CMF and anthracyclines in univariate and multivariable survival models; endpoints were disease-free (DFS) and overall survival (OS).

We built multivariable survival models to quantify the mediational effect of individual smoking on overall and OPC-specific survival, adjusting for regional smoking, demographics, and clinical characteristics.

Multivariable survival models were constructed separately for the three radiation therapy treatment groups, adjusting for HPV status, age, gender, tumour grade, AJCC stage and primary site where possible.

Main outcome measure Multivariable survival models were applied to determine the association between milk consumption and time to mortality or fracture.

Using a Cox PH model, statistically significant (p ≤ 0.05) or borderline significant (p < 0.1) prognostic factors identified from the univariate survival analyses, together with factors selected for hypothesis testing, were evaluated in multivariable survival models.