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Multivariable survival models were also run for survival analyses.
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.
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.
Among the subjects with a cause of death listed, 51.4% were noted as having died due, in part, to CVD. Results of the multivariable survival models predicting CVD mortality are summarized in Table 3.
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In the multivariable survival model for time to BOS, there was no significant risk to developing BOS after a single minimal AR (A1) episode (HR 1.7, 95% CI 0.64-4.8; p=0.28).
The data were analyzed using a multivariable survival model that separates the underlying hazard function into as much as three different phases, each incorporating separate risk factors.
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.
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