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Lifetime Data Analysis

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27-02-2018

Goodness of fit tests for estimating equations based on pseudo-observations

Authors: Klemen Pavlič, Torben Martinussen, Per Kragh Andersen

Published in: Lifetime Data Analysis | Issue 2/2019

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Abstract

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.

next article Testing for center effects on survival and competing risks outcomes using pseudo-value regression

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Title: Goodness of fit tests for estimating equations based on pseudo-observations
Authors: Klemen Pavlič
Torben Martinussen
Per Kragh Andersen
Publication date: 27-02-2018
Publisher: Springer US
Published in: Lifetime Data Analysis / Issue 2/2019
Print ISSN: 1380-7870
Electronic ISSN: 1572-9249
DOI: https://doi.org/10.1007/s10985-018-9427-6

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