Pages that link to "Item:Q3225768"
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The following pages link to A Bayesian approach to mixture cure models with spatial frailties for population-based cancer relative survival data (Q3225768):
Displaying 10 items.
- Analysis of cure rate survival data under proportional odds model (Q746095) (← links)
- Approximate Bayesian inference for mixture cure models (Q2220802) (← links)
- A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors (Q2829470) (← links)
- Mixture and Non-Mixture Cure Fraction Models Based on Generalized Gompertz Distribution under Bayesian Approach (Q2953172) (← links)
- Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data (Q3435691) (← links)
- A Bayesian analysis of relative cancer survival with geoadditive models (Q4970939) (← links)
- Modelling geographically referenced survival data with a cure fraction (Q5424981) (← links)
- Modelling geographically referenced survival data with a cure fraction (Q5442633) (← links)
- Bayesian solution to the monotone likelihood in the standard mixture cure model (Q6089502) (← links)
- Laplacian-P-splines for Bayesian inference in the mixture cure model (Q6628398) (← links)
