A FRAILTY MODEL APPROACH FOR REGRESSION ANALYSIS OF BIVARIATE INTERVAL-CENSORED SURVIVAL DATA

DOI10.5705/SS.2011.151zbMath1257.62048OpenAlexW1988387472MaRDI QIDQ4908797

Chi-Chung Wen, Yi-Hau Chen

Publication date: 7 March 2013

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.2011.151

zbMATH Keywords

interval censoringproportional hazardscorrelated dataself-consistency

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

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A proportional hazards model for time-to-event data with epidemiological bias ⋮ A spline-based nonparametric analysis for interval-censored bivariate survival data ⋮ Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme ⋮ Simultaneous variable selection in regression analysis of multivariate interval‐censored data ⋮ A Gamma-frailty proportional hazards model for bivariate interval-censored data ⋮ Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events ⋮ Semiparametric probit models with univariate and bivariate current-status data

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