Pages that link to "Item:Q454771"
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The following pages link to High-dimensional Cox regression analysis in genetic studies with censored survival outcomes (Q454771):
Displaying 17 items.
- Partial least squares Cox regression for genome-wide data (Q953248) (← links)
- A genetic method of LAD estimation for models with censored data (Q957126) (← links)
- Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis (Q2013304) (← links)
- Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors (Q2058906) (← links)
- Forward regression for Cox models with high-dimensional covariates (Q2274944) (← links)
- High-dimensional Cox models: the choice of penalty as part of the model building process (Q2786152) (← links)
- Nonidentical twins: comparison of frequentist and Bayesian Lasso for Cox models (Q2803426) (← links)
- Survival analysis with high-dimensional covariates: an application in microarray studies (Q2864056) (← links)
- Univariate shrinkage in the Cox model for high dimensional data (Q2864067) (← links)
- FLCRM: Functional linear cox regression model (Q3119810) (← links)
- Efficient estimation of nonparametric genetic risk function with censored data (Q3455801) (← links)
- Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features (Q5092986) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- Doubly Penalized Buckley–James Method for Survival Data with High‐Dimensional Covariates (Q5450464) (← links)
- (Q5456730) (← links)
- Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics (Q6055686) (← links)
- Penalized weighted proportional hazards model for robust variable selection and outlier detection (Q6628641) (← links)
