Pseudo-observations in survival analysis
Stat Methods Med Res, 19 (1):
71-99 (February 2010)DOI: 10.1177/0962280209105020
Abstract
We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competing risks cumulative incidence function. Graphical and numerical methods for assessing goodness-of-fit for hazard regression models and for the Fine-Gray model in competing risks studies based on pseudo-observations are also reviewed. Sensitivity to covariate-dependent censoring is studied. The methods are illustrated using a data set from bone marrow transplantation.
Description
Pseudo-observations in survival analysis. - PubMed - NCBI