Improved generalized raking estimators to address dependent covariate and failure‐time outcome error
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Publication:6091680
DOI10.1002/BIMJ.202000187zbMath1523.62176arXiv2006.07480OpenAlexW3135089130MaRDI QIDQ6091680
Unnamed Author, Bryan E. Shepherd, Pamela A. Shaw, Thomas Lumley
Publication date: 27 November 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.07480
Cites Work
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- Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation
- Evaluating risk-prediction models using data from electronic health records
- Weighted likelihood estimation under two-phase sampling
- Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation
- Discrete Proportional Hazards Models for Mismeasured Outcomes
- Calibration Estimators in Survey Sampling
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
- Survey Design Under the Regression Superpopulation Model
- A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
- Miscellanea. Small-sample degrees of freedom with multiple imputation
- Inference for imputation estimators
- Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
- Multiple imputation of discrete and continuous data by fully conditional specification
- Measurement Error in Nonlinear Models
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