Testing for sufficient follow-up in censored survival data by using extremes

Cites Work

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New estimators of the extreme value index under random right censoring, for heavy-tailed distributions
Estimating the conditional extreme-value index under random right-censoring
Statistics of extremes under random censoring
Testing for sufficient follow-up in survival data.
Extremes of censored and uncensored lifetimes in survival data
A new approach to testing for sufficient follow-up in cure-rate analysis
Splitting the sample at the largest uncensored observation
Pareto Index Estimation Under Moderate Right Censoring
Nonparametric Estimation from Incomplete Observations
Estimating the proportion of immunes in a censored sample
Testing for Sufficient Follow-Up and Outliers in Survival Data
Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up
Non-Parametric Cure Rate Estimation Under Insufficient Follow-Up by Using Extremes
The bootstrap in hypothesis testing
Nonparametric cure rate estimation with covariates
Empirical likelihood tests for two-sample problems via nonparametric density estimation
Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up
Mixture cure model methodology in survival analysis: some recent results for the one-sample case
Finite sample and asymptotic distributions of a statistic for sufficient follow-up in cure models
Finite mixtures of semiparametric Bayesian survival kernel machine regressions: application to breast cancer gene pathway subgroup analysis

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