[HTML][HTML] Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data

HC Van Houwelingen, H Putter - Lifetime data analysis, 2008 - Springer
Lifetime data analysis, 2008Springer
This paper considers the problem of obtaining a dynamic prediction for 5-year failure free
survival after bone marrow transplantation in ALL patients using data from the EBMT, the
European Group for Blood and Marrow Transplantation. The paper compares the new
landmark methodology as developed by the first author and the established multi-state
modeling as described in a recent Tutorial in Biostatistics in Statistics in Medicine by the
second author and colleagues. As expected the two approaches give similar results. The …
Abstract
This paper considers the problem of obtaining a dynamic prediction for 5-year failure free survival after bone marrow transplantation in ALL patients using data from the EBMT, the European Group for Blood and Marrow Transplantation. The paper compares the new landmark methodology as developed by the first author and the established multi-state modeling as described in a recent Tutorial in Biostatistics in Statistics in Medicine by the second author and colleagues. As expected the two approaches give similar results. The landmark methodology does not need complex modeling and leads to easy prediction rules. On the other hand, it does not give the insight in the biological processes as obtained for the multi-state model.
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