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.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Andersen PK,Perme MPdoi
10.1177/0962280209105020subject
Has Abstractpub_date
2010-02-01 00:00:00pages
71-99issue
1eissn
0962-2802issn
1477-0334pii
0962280209105020journal_volume
19pub_type
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