Reweighted estimators for additive hazard model with censoring indicators missing at random
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DOI: 10.1007/s10985-017-9398-z
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- Kaifeng Lu & Anastasios A. Tsiatis, 2001. "Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure," Biometrics, The International Biometric Society, vol. 57(4), pages 1191-1197, December.
- Xiaodong Luo & Wei Yann Tsai & Qiang Xu, 2009. "Pseudo-partial likelihood estimators for the Cox regression model with missing covariates," Biometrika, Biometrika Trust, vol. 96(3), pages 617-633.
- Qi, Lihong & Wang, C.Y. & Prentice, Ross L., 2005. "Weighted Estimators for Proportional Hazards Regression With Missing Covariates," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1250-1263, December.
- Xu, Qiang & Paik, Myunghee Cho & Luo, Xiaodong & Tsai, Wei-Yann, 2009. "Reweighting Estimators for Cox Regression With Missing Covariates," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1155-1167.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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- Sheng, Ying & Wang, Qihua, 2020. "Conditional probability estimation based classification with class label missing at random," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
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Keywords
Additive hazard model; Censored data; Inverse probability weighted estimator; Missing censoring indicators; Reweighting;All these keywords.
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