A baseline-free procedure for transformation models under interval censorship

DOI10.1007/s10985-005-5235-xzbMath1120.62080OpenAlexW1974112926WikidataQ43510613 ScholiaQ43510613MaRDI QIDQ995966

Guoxin Zuo, Ming Gao Gu, Liu-Quan Sun

Publication date: 10 September 2007

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-005-5235-x

Mathematics Subject Classification ID

Censored data models (62N01) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Stochastic approximation (62L20) Estimation in survival analysis and censored data (62N02)

Related Items (13)

General partially linear varying-coefficient transformation models for ranking data ⋮ Partial marginal likelihood estimation for general transformation models ⋮ General partially linear additive transformation model with right-censored data ⋮ A new approach to regression analysis of linear transformation model with interval-censored data ⋮ General partially linear varying-coefficient transformation model with right censored data ⋮ Bias corrected estimation for generalized probit regression with covariate measurement error and censored responses ⋮ Boosting method for nonlinear transformation models with censored survival data ⋮ Adaptive LASSO for general transformation models with right censored data ⋮ Variable selection for general transformation models with ranking data ⋮ A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data ⋮ Linear transformation models for interval-censored data ⋮ Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction ⋮ Empirical likelihood inference for general transformation models with right censored data

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