@article{88971d108b5511df928f000ea68e967b,
title = "Pseudo-observations in survival analysis",
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.",
author = "Andersen, {Per Kragh} and Perme, {Maja Pohar}",
note = "Keywords: Adult; Bone Marrow Transplantation; Female; Humans; Leukemia, Myeloid, Acute; Male; Middle Aged; Precursor Cell Lymphoblastic Leukemia-Lymphoma; Proportional Hazards Models; Regression Analysis; Risk Assessment; Survival Analysis; Survival Rate; Young Adult",
year = "2010",
doi = "10.1177/0962280209105020",
language = "English",
volume = "19",
pages = "71--99",
journal = "Statistical Methods in Medical Research",
issn = "0962-2802",
publisher = "SAGE Publications",
number = "1",
}