Goodness of fit tests for estimating equations based on pseudo-observations
- 72 Downloads
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
- Højsgaard S, Halekoh U, Yan J (2005) The R package geepack for generalized estimating equations. J Stat Softw 15(1):1–11Google Scholar
- Lombard M, Portmann B, Neuberger J, Williams R, Tygstrup N, Ranek L, Larsen HR, Rodes J, Navasa M, Trepo C, Pape G, Schou G, Badsberg JH, Andersen PK (1993) Cyclosporin A treatment in primary biliary cirrhosis. Results of a long-term placebo controlled trial. Gastroenterology 104:519–526CrossRefGoogle Scholar
- McDaniel LS, Henderson NC, Rathouz PJ (2013) Fast pure R implementation of GEE: application of the matrix package. R J 5:181–187Google Scholar