Improved generalized raking estimators to address dependent covariate and failure‐time outcome error-Reference-Cited by-同舟云学术

Improved generalized raking estimators to address dependent covariate and failure‐time outcome error

Published:2021-03-11 Issue:5 Volume:63 Page:1006-1027
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Oh Eric J.¹^ORCID,Shepherd Bryan E.²,Lumley Thomas³,Shaw Pamela A.¹

Affiliation:

1. Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Philadelphia PA USA

2. Department of Biostatistics Vanderbilt University Nashville TN USA

3. Department of Statistics University of Auckland Auckland New Zealand

Funder

Patient-Centered Outcomes Research Institute

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000187

Reference41 articles.

1. Miscellanea. Small-sample degrees of freedom with multiple imputation

2. Cost-benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project

3. Boe L. A. Tinker L. F. &Shaw P. A.(2020).An approximate quasi‐likelihood approach for error‐prone failure time outcomes and exposures. arXiv preprint. arXiv:2004.01112.

4. Secondary use of EHR: Data quality issues and informatics opportunities;Botsis T.;Summit on Translational Bioinformatics,2010

5. Design and analysis of two‐phase studies with binary outcome applied to Wilms tumour prognosis

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Three‐phase generalized raking and multiple imputation estimators to address error‐prone data;Statistics in Medicine;2023-11-21

2. Optimal multiwave validation of secondary use data with outcome and exposure misclassification;Canadian Journal of Statistics;2023-03-31

3. Multiwave validation sampling for error‐prone electronic health records;Biometrics;2022-07-11

4. Optimal sampling for design‐based estimators of regression models;Statistics in Medicine;2022-01-06