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

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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. Copyright © 2009 John Wiley & Sons, Ltd.

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Tunes-da-Silva, G., & Klein, J. P. (2009). Regression analysis of mean quality-adjusted survival time based on pseudo-observations. Statistics in Medicine, 28(7), 1054–1066. https://doi.org/10.1002/sim.3529

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