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Pseudo-observations in survival analysisAndersen, Per Kragh ; Pohar Perme, MajaWe review recent work on the application of pseudo-observations in survival and event hi story 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 regres sion 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.Source: Statistical methods in medical research. - ISSN 0962-2802 (Letn. 19, 2010, str. 71-99)Type of material - article, component partPublish date - 2010Language - englishCOBISS.SI-ID - 26578137
Author
Andersen, Per Kragh |
Pohar Perme, Maja
Topics
Survival Analysis |
Regression Analysis |
Proportional Hazards Models |
Disease-Free Survival |
Incidence |
Data Collection |
Preživetje, analiza |
Proporcionalni modeli tveganja |
Brez bolezni, preživetje |
Incidenca |
Regresijska analiza |
Podatki, zbiranje
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Andersen, Per Kragh | |
Pohar Perme, Maja | 23437 |
Source: Personal bibliographies
and: SICRIS
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