Semiparametric transformation models for current status data with informative censoring
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Publication:2919464
DOI10.1002/bimj.201100131zbMath1400.62061OpenAlexW2142085546WikidataQ34377381 ScholiaQ34377381MaRDI QIDQ2919464
Man-Hua Chen, Tai-Fang C. Lu, Chao-Min Hsu, Chyong-Mei Chen
Publication date: 2 October 2012
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201100131
EM algorithminformative censoringfrailty modelcurrent status datasemiparametric transformation models
Related Items (13)
Regression analysis of informative current status data with the semiparametric linear transformation model ⋮ Joint analysis of longitudinal and interval-censored failure time data ⋮ Regression analysis of dependent current status data with the accelerated failure time model ⋮ Regression analysis of current status data in the presence of a cured subgroup and dependent censoring ⋮ Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments ⋮ Additive hazards regression with case-cohort sampled current status data ⋮ Regression analysis of interval-censored data with informative observation times under the accelerated failure time model ⋮ A new approach for regression analysis of multivariate current status data with informative censoring ⋮ Regression analysis of misclassified current status data with informative observation times ⋮ Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring ⋮ Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring ⋮ Regression analysis of informative current status data with the additive hazards model ⋮ A vine copula approach for regression analysis of bivariate current status data with informative censoring
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