Pages that link to "Item:Q3195175"
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The following pages link to Group selection in the Cox model with a diverging number of covariates (Q3195175):
Displaying 22 items.
- Group and within-group variable selection for competing risks data (Q725412) (← links)
- Doubly regularized Cox regression for high-dimensional survival data with group structures (Q897169) (← links)
- Screening group variables in the proportional hazards model (Q1650285) (← links)
- Variable selection via generalized SELO-penalized Cox regression models (Q1738526) (← links)
- Variable selection in partially linear additive hazards model with grouped covariates and a diverging number of parameters (Q2032189) (← links)
- Bi-selection in the high-dimensional additive hazards regression model (Q2044320) (← links)
- Group selection via adjusted weighted least absolute deviation regression (Q2178401) (← links)
- Adaptive group bridge selection in the semiparametric accelerated failure time model (Q2293393) (← links)
- Group variable selection in the Andersen-Gill model for recurrent event data (Q2301106) (← links)
- Bi-level variable selection in semiparametric transformation models with right-censored data (Q2666992) (← links)
- Adaptive bi-level variable selection for multivariate failure time model with a diverging number of covariates (Q2677126) (← links)
- Analysis of Survival Data with Group Lasso (Q3168373) (← links)
- Group variable selection via convex log‐exp‐sum penalty with application to a breast cancer survivor study (Q3465722) (← links)
- Hierarchically penalized Cox regression with grouped variables (Q3633156) (← links)
- A group bridge approach for variable selection (Q3633158) (← links)
- A group bridge approach for component selection in nonparametric accelerated failure time additive regression model (Q5079492) (← links)
- Variable selection with group LASSO approach: Application to Cox regression with frailty model (Q5082578) (← links)
- Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data (Q6073556) (← links)
- Adaptive bridge estimator for Cox model with a diverging number of parameters (Q6106194) (← links)
- Group variable selection for the Cox model with interval-censored failure time data (Q6589252) (← links)
- Variable selection for high-dimensional partly linear additive Cox model with application to Alzheimer's disease (Q6627590) (← links)
- A network-constrain Weibull AFT model for biomarkers discovery (Q6649357) (← links)
