Pages that link to "Item:Q4021169"
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The following pages link to Nonparametric density estimation for censored survival data: Regression‐spline approach (Q4021169):
Displaying 13 items.
- Survival estimation through the cumulative hazard function with monotone natural cubic splines (Q746153) (← links)
- A semi-parametric censored regression estimator (Q1083158) (← links)
- Parametrically guided nonparametric density and hazard estimation with censored data (Q1660219) (← links)
- Smoothing survival densities in practice (Q2361209) (← links)
- Information theoretic criteria in non-parametric density estimation. Bias and variance in the infinite dimensional case (Q2365203) (← links)
- Dimension reduction in survival regressions with censored data via an imputed spline approach (Q3003007) (← links)
- Comparison of imputation methods for interval censored time-to-event data in joint modelling of tree growth and mortality (Q3174224) (← links)
- A Censored Data Histogram (Q4678890) (← links)
- Penalized spline smoothing using Kaplan–Meier weights with censored data (Q4962950) (← links)
- A Bayesian Reliability Analysis of Neutron-Induced Errors in High Performance Computing Hardware (Q5327269) (← links)
- Bayesian nonparametric quantile process regression and estimation of marginal quantile effects (Q6079853) (← links)
- Spline regression for hazard rate estimation when data are censored and measured with error (Q6088213) (← links)
- Spline-based accelerated failure time model (Q6627904) (← links)
