Landmark Analysis
Landmark analysis, introduced by Anderson, Cain, and Gelber in 1983, estimates conditional survival probabilities for subjects who are still at risk at a pre-specified point in time — the landmark — rather than at study entry. It was developed explicitly to avoid immortal time bias that arises when subjects are grouped by an event (such as a treatment change or biomarker result) that can only occur if they remain event-free long enough to experience it.
Kilderegistrering
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- Anderson, J. R., Cain, K. C. & Gelber, R. D. (1983). Analysis of Survival by Tumor Response. Journal of Clinical Oncology, 1(11), 710–719. · DOI 10.1200/JCO.1983.1.11.710
- van Houwelingen, H. C. (2007). Dynamic Prediction by Landmarking in Event History Analysis. Scandinavian Journal of Statistics, 34(1), 70–85. · DOI 10.1111/j.1467-9469.2006.00529.x
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