Pages that link to "Item:Q764508"
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The following pages link to Principled sure independence screening for Cox models with ultra-high-dimensional covariates (Q764508):
Displaying 13 items.
- Kernel Cox partially linear regression: building predictive models for cancer patients' survival (Q6560452) (← links)
- A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints (Q6596729) (← links)
- A selective overview of feature screening methods with applications to neuroimaging data (Q6600362) (← links)
- Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers (Q6625747) (← links)
- Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects (Q6626705) (← links)
- Supervised structural learning of semiparametric regression on high-dimensional correlated covariates with applications to eQTL studies (Q6626836) (← links)
- Variable screening and selection for ultra-high dimensional additive quantile regression with missing data (Q6631980) (← links)
- Nonparametric feature screening for interaction effects in ultrahigh-dimensional survival data (Q6631994) (← links)
- Improvement screening for ultra-high dimensional data with censored survival outcomes and varying coefficients (Q6636148) (← links)
- Feature screening for ultra-high-dimensional data via multiscale graph correlation (Q6641317) (← links)
- Semi-Distance Correlation and Its Applications (Q6651397) (← links)
- Model free feature screening for large scale and ultrahigh dimensional survival data (Q6664140) (← links)
- Asymptotic confidence interval for <i>R</i> <sup>2</sup> in multiple linear regression (Q6667620) (← links)
