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Absolute risk regression for competing risks: interpretation, link functions, and prediction
Thomas Alexander Gerds
,
Thomas Scheike
,
Per Kragh Andersen
Department of Public Health
Section of Biostatistics
70
Citations (Scopus)
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Dive into the research topics of 'Absolute risk regression for competing risks: interpretation, link functions, and prediction'. Together they form a unique fingerprint.
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Mathematics
Competing Risks
100%
Link Function
99%
Prediction
65%
Regression
62%
Interpretation
57%
Predictors
50%
Grey Model
43%
Cox Regression Model
38%
Transformation Model
36%
Prediction Model
34%
Risk Factors
33%
Bone
33%
Survival Analysis
30%
Regression Coefficient
27%
Justify
26%
Model
26%
Incidence
25%
Review
19%
Unit
18%
Series
16%
Medicine & Life Sciences
Survival Analysis
39%
Proportional Hazards Models
36%
Bone Marrow
29%
Transplants
25%
Incidence
19%