Locally Efficient Estimation with Current Status Data and Time-Dependent Covariates
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Publication:4216962
DOI10.2307/2670119zbMath0953.62118OpenAlexW4230781710MaRDI QIDQ4216962
Publication date: 1 February 2001
Full work available at URL: https://doi.org/10.2307/2670119
asymptotic efficiencyasymptotically linear estimatorinfluence curveCox proportional hazards modelcurrent status data
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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Nonparametric regression with current status data ⋮ Penalized log-likelihood estimation for partly linear transformation models with current status data ⋮ Semiparametric transformation models for current status data with informative censoring ⋮ Nonparametric estimation of waiting time distributions in a Markov model based on current status data ⋮ Risk prediction with imperfect survival outcome information from electronic health records ⋮ Developing and evaluating risk prediction models with panel current status data ⋮ Performance of parametric survival models under non-random interval censoring: a simulation study ⋮ Testing for Dependence Between Failure Time and Visit Compliance with Interval-Censored Data ⋮ Analysis of Failure Time Data with Dependent Interval Censoring ⋮ Kernel machines for current status data ⋮ Extending the scope of empirical likelihood ⋮ Locally efficient estimation of regression parameters using current status data
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