Link-Based Models for Survival Data with Interval and Continuous Time Censoring

DOI10.2307/2533490zbMath0911.62113OpenAlexW2316265338WikidataQ57491905 ScholiaQ57491905MaRDI QIDQ4381012

Naji Younes, John M. Lachin

Publication date: 16 May 1999

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533490

zbMATH Keywords

survival analysisinterval censoringlinkB-splinesproportional hazards regressionproportional odds regression

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (14)

Frequentist and Bayesian approaches for interval-censored data ⋮ Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections ⋮ Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ Semi-supervised approach to event time annotation using longitudinal electronic health records ⋮ On the use of \(L\)-functionals in regression models ⋮ A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model ⋮ Residuals for Proportional Hazards Models with Interval‐Censored Survival Data ⋮ Tests of Proportional Hazards and Proportional Odds Models for Grouped Survival Data ⋮ Multiscale Bayesian Survival Analysis ⋮ Goodness-of-Fit Methods for Additive-Risk Models in Tumorigenicity Experiments ⋮ Linear transformation models for interval-censored data ⋮ Estimating Incidence Rate on Current Status Data with Application to a Phase IV Cancer Trial ⋮ Efficient Estimation for Linear Transformation Models with Current Status Data ⋮ A semiparametric generalized proportional hazards model for right-censored data

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