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 Fineĝ€"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.
| Original language | English |
|---|---|
| Journal | Statistical Methods in Medical Research |
| Volume | 19 |
| Issue number | 1 |
| Pages (from-to) | 71-99 |
| Number of pages | 29 |
| ISSN | 0962-2802 |
| DOIs | |
| Publication status | Published - Feb 2010 |