Pages that link to "Item:Q4960926"
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The following pages link to Variable selection for recurrent event data with broken adaptive ridge regression (Q4960926):
Displaying 11 items.
- Variable selection for recurrent event data via nonconcave penalized estimating function (Q841054) (← links)
- Group variable selection in the Andersen-Gill model for recurrent event data (Q2301106) (← links)
- Variable selection in the additive rate model for recurrent event data (Q2359506) (← links)
- Variable selection for recurrent event data with informative censoring (Q2391908) (← links)
- Simultaneous estimation and variable selection for incomplete event history studies (Q2418523) (← links)
- Lasso penalized semiparametric regression on high-dimensional recurrent event data via coordinate descent (Q2862409) (← links)
- Scalable Algorithms for Large Competing Risks Data (Q5066454) (← links)
- The Broken Adaptive Ridge Procedure and Its Applications (Q5109933) (← links)
- Variable selection in joint frailty models of recurrent and terminal events (Q6047775) (← links)
- A surrogate \(\ell_0\) sparse Cox's regression with applications to sparse high-dimensional massive sample size time-to-event data (Q6627484) (← links)
- Censored broken adaptive ridge regression in high-dimension (Q6661273) (← links)
