Nonparametric estimation from length-biased data under competing risks
From MaRDI portal
Publication:1019891
DOI10.1016/j.csda.2006.01.007zbMath1161.62351OpenAlexW2071483694MaRDI QIDQ1019891
Jacobo de Uña-Álvarez, Alberto Rodríguez Casal
Publication date: 29 May 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2006.01.007
Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items
A new nonparametric quantile estimate for length-biased data with competing risks ⋮ Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation ⋮ Nonparametric estimation of a conditional distribution from length-biased data ⋮ Multivariate wavelet-based density estimation with size-biased data ⋮ Non-parametric quantile estimate for length-biased and right-censored data with competing risks ⋮ Semiparametric analysis of survival data with left truncation and right censoring ⋮ Semiparametric estimation of the cumulative incidence function under competing risks and left-truncated sampling ⋮ Nonparametric quantile inference for cause-specific residual life function under length-biased sampling ⋮ On Wavelet Estimation of the Derivatives of a Density Based on Biased Data ⋮ Testing Goodness of Fit of a Uniform Truncation Model ⋮ Non-negative density estimation via wavelet block thresholding for biased data ⋮ Wavelet density estimation for stratified size-biased sample
Cites Work
- Unnamed Item
- Unnamed Item
- On the convergence properties of the EM algorithm
- A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
- Large sample study of empirical distributions in a random-multiplicative censoring model
- Chi-squared goodness-of-fit theory under proportional censorship
- Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
- Estimating the Occurrence Rate for Prevalent Survival Data in Competing Risks Models
- A Semiparametric Model for Randomly Truncated Data
- Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
- Nonparametric Estimation from Cross-Sectional Survival Data
- A nonidentifiability aspect of the problem of competing risks.
- Length-Biased Sampling With Right Censoring
- Nelson–Aalen and product-limit estimation in selection bias models for censored populations
