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Resolution: standard / high Figure 9.
Analysis of the Barrier stage II colon cancer data – Cox-Snell residuals for various
boosting methods. The upper left panel shows the Cox-Snell residuals of a semiparametric Cox model
vs. the Nelson-Aalen estimate of their cumulative hazard function. Estimates were
obtained from boosting with the negative Cox partial log likelihood. The other panels
show the Cox-Snell residuals (together with their cumulative hazard function) obtained
from fitting various parametric AFT models to the same data via boosting with the
corresponding negative log likelihood loss. Similar to Fig. 1, we see that the line
corresponding to the Cox-Snell residuals of the log-logistic model is close to the
line through the origin. The Cox model does not seem to fit the data well, indicating
that the proportional hazards assumption is violated.
Schmid and Hothorn BMC Bioinformatics 2008 9:269 doi:10.1186/1471-2105-9-269 |