High-dimensional Cox models: the choice of penalty as part of the model building process.
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The Current and Future Use of Ridge Regression for Prediction in Quantitative GeneticsData generation for the Cox proportional hazards model with time-dependent covariates: a method for medical researchers.Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data.Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principlePerformance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary dataAn overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.Voxelwise gene-wide association study (vGeneWAS): multivariate gene-based association testing in 731 elderly subjectsSmoking-Associated DNA Methylation Biomarkers and Their Predictive Value for All-Cause and Cardiovascular MortalityA 13-gene signature prognostic of HPV-negative OSCC: discovery and external validationComparison of Cox Model Methods in A Low-dimensional Setting with Few EventsPrediction accuracy and variable selection for penalized cause-specific hazards models.Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models.Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies.An evaluation of penalised survival methods for developing prognostic models with rare events.Including network knowledge into Cox regression models for biomarker signature discovery.Survival analysis by penalized regression and matrix factorization.
P2860
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P2860
High-dimensional Cox models: the choice of penalty as part of the model building process.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年學術文章
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name
High-dimensional Cox models: the choice of penalty as part of the model building process.
@en
High-dimensional Cox models: the choice of penalty as part of the model building process.
@nl
type
label
High-dimensional Cox models: the choice of penalty as part of the model building process.
@en
High-dimensional Cox models: the choice of penalty as part of the model building process.
@nl
prefLabel
High-dimensional Cox models: the choice of penalty as part of the model building process.
@en
High-dimensional Cox models: the choice of penalty as part of the model building process.
@nl
P2093
P356
P1433
P1476
High-dimensional Cox models: the choice of penalty as part of the model building process
@en
P2093
Axel Benner
Carina Ittrich
Thomas Hielscher
Ulrich Mansmann
P356
10.1002/BIMJ.200900064
P577
2010-02-01T00:00:00Z