General linear model for the outcome ‘estimated survival time’.

<p>B. Regression coefficient.</p><p>SE. Standard error regression coefficient.</p><p>CI. Confidence interval.</p

Performance of models for the outcome ‘dead or alive at 60 months’.

<p>Performance of models for the outcome ‘dead or alive at 60 months’.</p

Performance of models for the outcome ‘pseudo values at 60 months’.

<p>Performance of models for the outcome ‘pseudo values at 60 months’.</p

General linear model for the outcome ‘pseudo values at 60 months’.

<p>B: Regression coefficient.</p><p>SE: Standard error regression coefficient.</p><p>CI: Confidence interval.</p

Mode of the parameter settings identified as optimal in bootstrap samples.

<p>Mode of the parameter settings identified as optimal in bootstrap samples.</p

Censoring pattern 1282 patients with newly diagnosed HNSCC.

<p>Censoring pattern 1282 patients with newly diagnosed HNSCC.</p

Variable importance of the models per outcome.

<p>Variable importance of the models per outcome.</p

Performance of models for the outcome ‘estimated survival time’.

<p>Performance of models for the outcome ‘estimated survival time’.</p

Survival pattern 1282 patients with newly diagnosed HNSCC.

<p>Survival pattern 1282 patients with newly diagnosed HNSCC.</p

Logistic regression model for the outcome ‘dead or alive at 60 months’.

<p>B: Regression coefficient.</p><p>SE: Standard error regression coefficient.</p><p>OR: Odds ratio.</p><p>CI: Confidence interval.</p