Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates
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Publication:990891
DOI10.1016/J.JMVA.2010.02.008zbMath1203.62038OpenAlexW2000838071MaRDI QIDQ990891
Publication date: 1 September 2010
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2010.02.008
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
Related Items (3)
A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates ⋮ Semiparametric linear transformation model with differential measurement error and validation sampling ⋮ Semiparametric proportional mean residual life model with covariates missing at random
Cites Work
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- Rank regression
- Empirical likelihood-based inference under imputation for missing response data
- Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
- On semiparametric transformation cure models
- Multivariate Generalizations of the Proportional Hazards Model
- Analysis of transformation models with censored data
- Sliced Inverse Regression for Dimension Reduction
- Cox Regression with Incomplete Covariate Measurements
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- On using the Cox proportional hazards model with missing covariates
- A conditional model for incomplete covariates in parametric regression models
- Maximum Likelihood Estimation in the Proportional Odds Model
- Semiparametric analysis of transformation models with censored data
- Proportional Hazards Regression with Missing Covariates
- Introduction to the Mathematical and Satistical Foundations of Econometrics
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
- Weighted Estimators for Proportional Hazards Regression With Missing Covariates
- A Generalization of Sampling Without Replacement From a Finite Universe
- Marginal likelihood estimation for proportional odds models with right censored data
- A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates
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