Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data.
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.
van Houwelingen
Hans C
HC
Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Post Zone S5-P, P.O. Box 9600, Leiden, 2300 RC, The Netherlands.
Putter
Hein
H
D003627:Data Interpretation, Statistical; D018572:Disease-Free Survival; D005060:Europe; D006086:Graft vs Host Disease / Q000150:complications / Q000401:mortality*; D006801:Humans; D007945:Leukemia, Lymphoid / Q000401:mortality*; D008390:Markov Chains; D016016:Proportional Hazards Models; D012307:Risk Factors; D013997:Time Factors