Related Experiment Video
Updated: Aug 12, 2026

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment
Published on: August 18, 2023
Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid
Hans C van Houwelingen1, Hein Putter
1Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Post Zone S5-P, P.O. Box 9600, Leiden, 2300 RC, The Netherlands.
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.

