Pseudo-observations in survival analysis
Research output: Contribution to journal › Journal article › Research › peer-review
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.
Original language | English |
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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 - 2010 |
Bibliographical 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
ID: 20738642