Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference
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Title
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference
Authors
Keywords
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Journal
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume 29, Issue 12, Pages 3605-3622
Publisher
SAGE Publications
Online
2020-10-06
DOI
10.1177/0962280220934501
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- A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates
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