Goodness of fit tests for estimating equations based on pseudo-observations
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We study regression models for mean value parameters in survival analysis based on pseudo-observations. Such parameters include the survival probability and the cumulative incidence in a single point as well as the restricted mean life time and the cause-specific number of years lost. Goodness of fit techniques for such models based on cumulative sums of pseudo-residuals are derived including asymptotic results and Monte Carlo simulations. Practical examples from liver cirrhosis and bone marrow transplantation are also provided.
KeywordsGoodness-of-fit Pseudo-observations Survival probability Cumulative incidence function Restricted mean life time Years lost
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