Pages that link to "Item:Q1023478"

The following pages link to Mixture cure models for multivariate survival data (Q1023478):

Displaying 36 items.

• Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models (Q140115) (← links)
• Nonparametric latency estimation for mixture cure models (Q140124) (← links)
• Marginal regression analysis of clustered failure time data with a cure fraction (Q151128) (← links)
• Cure events in default prediction (Q296900) (← links)
• Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models (Q425671) (← links)
• A log-linear regression model for the \(\beta\)-Birnbaum-Saunders distribution with censored data (Q425683) (← links)
• A marginal regression model for multivariate failure time data with a surviving fraction (Q636126) (← links)
• EM algorithm for the additive risk mixture cure model with interval-censored data (Q825204) (← links)
• An additive hazards cure model with informative interval censoring (Q825223) (← links)
• A two-component Weibull mixture to model early and late mortality in a Bayesian framework (Q962272) (← links)
• Exponential mixture models with long-term survivors and covariates (Q1328351) (← links)
• Semiparametric analysis of clustered interval-censored survival data with a cure fraction (Q1623664) (← links)
• Partially linear transformation cure models for interval-censored data (Q1660211) (← links)
• A general transformation class of semiparametric cure rate frailty models (Q1926007) (← links)
• Clustering method for censored and collinear survival data (Q1995819) (← links)
• Mixture modeling of data with multiple partial right-censoring levels (Q2201324) (← links)
• Generalized accelerated hazards mixture cure models with interval-censored data (Q2242027) (← links)
• Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies (Q2291304) (← links)
• Testing for the presence of a cure fraction in clustered interval-censored survival data (Q2802839) (← links)
• Prediction of individual long-term outcomes in smoking cessation trials using frailty models (Q2893389) (← links)
• (Q4218180) (← links)
• (Q4280412) (← links)
• Modeling clustered long‐term survivors using marginal mixture cure model (Q4584976) (← links)
• Cure rate model with bivariate interval censored data (Q4607368) (← links)
• Gamma lifetimes and associated inference for interval-censored cure rate model with COM–Poisson competing cause (Q4634835) (← links)
• Defective models induced by gamma frailty term for survival data with cured fraction (Q5036529) (← links)
• Mixture and nonmixture cure fraction models assuming discrete lifetimes: Application to a pelvic sarcoma dataset (Q5208159) (← links)
• The single‐index/Cox mixture cure model (Q5214502) (← links)
• A bivariate regression model with cure fraction (Q5220011) (← links)
• A new mixture cure model under competing risks to score online consumer loans (Q5234356) (← links)
• Mixture Cure Models in Prediction of Time to Default: Comparison with Logit and Cox Models (Q5240338) (← links)
• Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data (Q6089751) (← links)
• Mixture cure model methodology in survival analysis: some recent results for the one-sample case (Q6500004) (← links)
• Accelerated hazards model and its extensions for interval-censored data (Q6547603) (← links)
• Machine Learning vs. Survival Analysis Models: a study on right censored heart failure data (Q6562743) (← links)
• Analysis of clustered failure time data with cure fraction using copula (Q6625192) (← links)