Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival.
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Objective Bayesian model selection for Cox regression.A two-step method for variable selection in the analysis of a case-cohort study.Development and External Validation of Prediction Models for 10-Year Survival of Invasive Breast Cancer. Comparison with PREDICT and CancerMath.Bayesian variable selection for parametric survival model with applications to cancer omics data
P2860
Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival.
description
2014 nî lūn-bûn
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Weibull regression with Bayesi ...... ers of breast cancer survival.
@en
Weibull regression with Bayesi ...... ers of breast cancer survival.
@nl
type
label
Weibull regression with Bayesi ...... ers of breast cancer survival.
@en
Weibull regression with Bayesi ...... ers of breast cancer survival.
@nl
prefLabel
Weibull regression with Bayesi ...... ers of breast cancer survival.
@en
Weibull regression with Bayesi ...... ers of breast cancer survival.
@nl
P2093
P2860
P356
P1476
Weibull regression with Bayesi ...... ers of breast cancer survival.
@en
P2093
E Provenzano
H Raza Ali
P J Newcombe
S Richardson
P2860
P304
P356
10.1177/0962280214548748
P577
2014-09-04T00:00:00Z