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

Lifetime Data Analysis
Klemen PavličPer Kragh Andersen

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.

References

Aug 1, 1989·Statistics in Medicine·O O Aalen
Mar 14, 2002·Biometrics·D Y LinZ Ying
Feb 5, 2005·Lifetime Data Analysis·Per Kragh AndersenJohn P Klein
Jan 18, 2008·Computer Methods and Programs in Biomedicine·John P KleinMaja Pohar Perme
Aug 21, 2008·Statistics in Medicine·Maja Pohar Perme, Per Kragh Andersen
Dec 4, 2008·Lifetime Data Analysis·Frederik GrawMartin Schumacher
Aug 6, 2009·Statistical Methods in Medical Research·Per Kragh Andersen, Maja Pohar Perme
Jul 11, 2013·Statistics in Medicine·P K Andersen
Nov 26, 2014·Lifetime Data Analysis·Jianing LiMei-Jie Zhang

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Citations

May 21, 2020·Biostatistics·Chien-Lin SuJean-François Plante
Nov 6, 2021·Lifetime Data Analysis·Julie K FurbergHenrik Ravn

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