Inference for outcome probabilities in multi-state models |
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Authors: | Per Kragh Andersen Maja Pohar Perme |
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Institution: | (1) Department of Biostatistics, University of Copenhagen, O. Farimagsgade 5, PB 2099, 1014 Copenhagen K, Denmark;(2) Department of Biomedical Informatics, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia |
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Abstract: | In bone marrow transplantation studies, patients are followed over time and a number of events may be observed. These include
both ultimate events like death and relapse and transient events like graft versus host disease and graft recovery. Such studies,
therefore, lend themselves for using an analytic approach based on multi-state models. We will give a review of such methods
with emphasis on regression models for both transition intensities and transition- and state occupation probabilities. Both
semi-parametric models, like the Cox regression model, and parametric models based on piecewise constant intensities will
be discussed. |
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Keywords: | Multi-state models Bone marrow transplant Survival analysis Regression models |
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