Bivariate current status data with univariate monitoring times

DOI10.1093/biomet/92.4.847zbMath1160.62353OpenAlexW2007774114MaRDI QIDQ3545407

Xiudong Lei, Nicholas P. Jewell, Mark J. Van der Laan

Publication date: 10 December 2008

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/92.4.847

zbMATH Keywords

regressionasymptotically linear estimatorinfluence curvecoarsening at randomasymptotically efficientone-step estimatorCalifornia partners' study

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (11)

A spline-based nonparametric analysis for interval-censored bivariate survival data ⋮ A new approach for regression analysis of multivariate current status data with informative censoring ⋮ Efficient estimation for additive hazards regression with bivariate current status data ⋮ Second-order estimating equations for the analysis of clustered current status data ⋮ Efficient estimation for the proportional hazards model with bivariate current status data ⋮ Nonparametric estimation of the bivariate survival function for one modified form of current-status data ⋮ Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data ⋮ Regression Analysis of a Disease Onset Distribution Using Diagnosis Data ⋮ On the conditional probability for assessing time dependence of association in shared frailty models with bivariate current status data ⋮ A vine copula approach for regression analysis of bivariate current status data with informative censoring ⋮ Semiparametric probit models with univariate and bivariate current-status data

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