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

Lifetime Data Anal. 2008 Dec;14(4):447-63. doi: 10.1007/s10985-008-9099-8. Epub 2008 Oct 3.


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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Interpretation, Statistical
  • Disease-Free Survival
  • Europe
  • Graft vs Host Disease / complications
  • Graft vs Host Disease / mortality*
  • Humans
  • Leukemia, Lymphoid / mortality*
  • Markov Chains
  • Proportional Hazards Models
  • Risk Factors
  • Time Factors