Combined estimating equation approaches for semiparametric transformation models with length-biased survival data

DOI10.1111/biom.12170zbMath1299.62093OpenAlexW1505808122WikidataQ30805181 ScholiaQ30805181MaRDI QIDQ2927613

Yu-Jen Cheng, Chiung-Yu Huang

Publication date: 4 November 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12170

zbMATH Keywords

cross-sectional samplingsurvival analysiscomposite likelihoodlength-biased samplingsemiparametric transformation models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (15)

Analysis of transformation models with right-truncated data ⋮ Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data ⋮ Nonparametric and semiparametric regression estimation for length-biased survival data ⋮ Nonparametric estimation of the ROC curve for length-biased and right-censored data ⋮ Reweighting estimators for the transformation models with length-biased sampling data and missing covariates ⋮ A semiparametric mixture cure survival model for left-truncated and right-censored data ⋮ Partially linear transformation model for length-biased and right-censored data ⋮ Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling ⋮ Semiparametric model of mean residual life with biased sampling data ⋮ Smoothed quantile regression for censored residual life ⋮ Composite Estimating Equation Method for the Accelerated Failure Time Model with Length-biased Sampling Data ⋮ On semiparametric transformation model with LTRC data: pseudo likelihood approach ⋮ The estimation for the general additive-multiplicative hazard model using the length-biased survival data ⋮ Pseudo MLE for semiparametric transformation model with doubly truncated data ⋮ Composite estimating equation approach for additive risk model with length-biased and right-censored data

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