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Review
. 2003 Aug 18;89(4):605-11.
doi: 10.1038/sj.bjc.6601120.

Survival analysis Part III: multivariate data analysis -- choosing a model and assessing its adequacy and fit

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Review

Survival analysis Part III: multivariate data analysis -- choosing a model and assessing its adequacy and fit

M J Bradburn et al. Br J Cancer. .
No abstract available

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Figures

Figure 1
Figure 1
Martingale residuals plotted against (A) patient age and (B) FIGO stage; median for each stage is denoted by a horizontal line.
Figure 2
Figure 2
(A) Survival according to FIGO stage. (B) Log(−log(survival)) for FIGO stage. (c) Survival according to histology. (D) Log(−log(survival)) for histology. The endometroid group is shown by the dotted line.
Figure 3
Figure 3
Kaplan–Meier survival probabilities for patients treated by RT+CAP (solid line) and RT alone (dashed line). The respective predicted survival proportions of a generalised gamma multivariate model are given by the faint dotted lines for grouped mean covariates. RT=radiotherapy, CAP=cytoxan, doxorubicin and platinum-based chemotherapy.
Figure 4
Figure 4
Q–Q plot (percentiles of survival distribution) for patients RT+CAP against those with RT only. The plot symbols are the survival percentiles* and the slope corresponds to the value of the time ratio (=1/1.90). * The 10th percentile is omitted: 4.9 and 11.4 years for RT and RT+CAP respectively, RT=radiotherapy, CAP=cytoxan, doxorubicin and platinum-based chemotherapy.

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