Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test
Author:
Affiliation:
1. Daiichi Sankyo Inc Basking Ridge New Jersey USA
2. Department of Family Medicine and Public Health Sciences Wayne State University School of Medicine Detroit Michigan USA
Publisher
Wiley
Subject
Computer Science Applications,Information Systems,Analysis
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11539
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1. Tests for Parameter Instability and Structural Change With Unknown Change Point
2. Pros and cons of permutation tests in clinical trials
3. Introduction
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5. A review of survival trees
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