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Two-Stage Adaptive Design for Prognostic Biomarker Signatures With a Survival Endpoint
Biyue Dai, Mei Yin C. Polley
Quantitative Health Sciences
Research output
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peer-review
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Dive into the research topics of 'Two-Stage Adaptive Design for Prognostic Biomarker Signatures With a Survival Endpoint'. Together they form a unique fingerprint.
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Mathematics
Two-stage Design
100%
Biomarkers
93%
Adaptive Design
93%
Signature
69%
Design
45%
Performance Model
35%
Model Validation
34%
Breast Cancer
30%
Statistical Significance
30%
Survival Model
29%
Terminate
27%
Resampling
27%
Type I error
27%
Discrimination
26%
Cancer
25%
Discriminant
24%
Categorical or nominal
24%
Likely
23%
Null hypothesis
22%
Exceed
22%
Proportion
21%
Sample Size
18%
Binary
18%
Evaluation
17%
Simulation Study
17%
Testing
17%
Alternatives
15%
Framework
13%
Medicine & Life Sciences
Biomarkers
47%
Survival
40%
Medical Futility
34%
Triple Negative Breast Neoplasms
29%
Tumor Biomarkers
23%
Evaluation Studies
21%
Sample Size
21%
Chemical Compounds
Biological Marker
66%
Error
18%
Simulation
15%
Reaction Yield
9%