Pages that link to "Item:Q2786152"

The following pages link to High-dimensional Cox models: the choice of penalty as part of the model building process (Q2786152):

Displaying 23 items.

• Fitting survival data with penalized Poisson regression (Q413991) (← links)
• Regularization for Cox's proportional hazards model with NP-dimensionality (Q449987) (← links)
• High-dimensional Cox regression analysis in genetic studies with censored survival outcomes (Q454771) (← links)
• SICA for Cox's proportional hazards model with a diverging number of parameters (Q477528) (← links)
• On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models (Q722722) (← links)
• A cocktail algorithm for solving the elastic net penalized Cox's regression in high dimensions (Q897168) (← links)
• Bayesian accelerated failure time models based on penalized mixtures of Gaussians: regularization and variable selection (Q1621986) (← links)
• Shrinkage variable selection and estimation in proportional hazards models with additive structure and high dimensionality (Q1800064) (← links)
• Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors (Q2058906) (← links)
• Comments on: ``Hierarchical inference for genome-wide association studies'' (Q2184391) (← links)
• High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking (Q2302521) (← links)
• Hans van Houwelingen, 40 years in biostatistics (Q2786144) (← links)
• Nonidentical twins: comparison of frequentist and Bayesian Lasso for Cox models (Q2803426) (← links)
• Univariate shrinkage in the Cox model for high dimensional data (Q2864067) (← links)
• Use of pretransformation to cope with extreme values in important candidate features (Q3013951) (← links)
• Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both (Q3298443) (← links)
• Prediction accuracy and variable selection for penalized cause‐specific hazards models (Q4634691) (← links)
• Bridging data exploration and modeling in event-history analysis: the supervised-component Cox regression (Q5035646) (← links)
• An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
• Including network knowledge into Cox regression models for biomarker signature discovery (Q5416420) (← links)
• Bayesian regularization for flexible baseline hazard functions in Cox survival models (Q6088904) (← links)
• Extreme learning machine Cox model for high-dimensional survival analysis (Q6625631) (← links)
• A network-constrain Weibull AFT model for biomarkers discovery (Q6649357) (← links)