SIDOR Seminar
Checking hazard regression models using pseudoobservations
by
Per Kragh Andersen, Department of Biostatistics, University of
Copenhagen (Denmark)
joint with
Maha Pohar Perme, Department of Biomedical Informatics, University of
Ljubljana (Slovenia)
October 8th 2007, 12:30-13:30 hs
Facultad de CC. Económicas y Empresariales de Vigo, Aula-Seminario 6
Abstract:
Graphical methods for model diagnostics are an essential part of the
model fitting procedure. However, in survival analysis. the plotting
is always hampered by the presence of censoring. While model specific
solutions do exist and are commonly used, mainly for the Cox
regression model, we present a more general approach that covers all
models using the same framework. The pseudo-observations enable us to
calculate residuals for each individual at each time point regardless
of censoring and provide methods for simultaneously checking all the
assumptions of both the Cox and the additive model. We introduce
methods for single as well as multiple covariate cases and complement
them with corresponding goodness of fit tests. The methods are
illustrated on simulated as well as real data examples
SIDOR Seminar: Statistical Inference, Decision, and
Operations Research
Contact: jacobo@uvigo.es