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. 2009 Mar 30;28(7):1054-66.
doi: 10.1002/sim.3529.

Regression analysis of mean quality-adjusted survival time based on pseudo-observations

G Tunes-da-Silva  1 , J P Klein
Affiliations

Regression analysis of mean quality-adjusted survival time based on pseudo-observations

G Tunes-da-Silva et al. Stat Med. .

Abstract

Regression models for the mean quality-adjusted survival time are specified from hazard functions of transitions between two states and the mean quality-adjusted survival time may be a complex function of covariates. We discuss a regression model for the mean quality-adjusted survival (QAS) time based on pseudo-observations, which has the advantage of directly modeling the effect of covariates in the QAS time. Both Monte Carlo simulations and a real data set are studied.

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Figures

Figure 1
Figure 1
CML data process.
Figure 2
Figure 2
Simulated process.
Figure 3
Figure 3
Simulation results for 20 per cent of censoring.
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