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Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients
Søren Wengel Mogensen,
Anne Helby Petersen
,
Ann-Sophie Buchardt
,
Niels Richard Hansen
Department of Mathematical Sciences
Section of Biostatistics
4
Citations (Scopus)
122
Downloads (Pure)
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Dive into the research topics of 'Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients'. Together they form a unique fingerprint.
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Keyphrases
Metastatic Castration-resistant Prostate Cancer (mCRPC)
100%
Survival Prognosis
100%
Prostate Cancer Patients
100%
Prostate Cancer
100%
Prognostic Factors
100%
Prognostic Model
100%
Imputation Techniques
50%
Model Fitting
50%
Generalized Additive Model
50%
Prediction Accuracy
50%
Individual Survival
50%
Training Data
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
50%
Data Usage
50%
Statistical Techniques
50%
Prostate-specific Antigen
50%
Survival Time
50%
Prognostic Value
50%
Tree-based
50%
Biochemistry, Genetics and Molecular Biology
Survival Time
100%
Prostate-Specific Antigen
100%
Medicine and Dentistry
Prostate Cancer
100%
Survival Time
25%
Cross-Validation
25%
Prostate Specific Antigen
25%