Selecting the model for multiple imputation of missing data: Just use an IC!-Reference-Cited by-同舟云学术

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Selecting the model for multiple imputation of missing data: Just use an IC!

Published:2021-02-24 Issue:10 Volume:40 Page:2467-2497
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Noghrehchi Firouzeh¹,Stoklosa Jakub²³,Penev Spiridon²,Warton David I.²³

Affiliation:

1. Discipline of Biomedical Informatics and Digital Health The University of Sydney Sydney New South Wales Australia

2. School of Mathematics and Statistics The University of New South Wales Sydney New South Wales Australia

3. Evolution and Ecology Research Centre The University of New South Wales Sydney New South Wales Australia

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8915

Reference68 articles.

1. Coping with missing data in clinical trials: A model-based approach applied to asthma trials

2. Estimating HIV incidence in the United States from HIV/AIDS surveillance data and biomarker HIV test results

3. Fractional Brownian motion and multivariate‐t models for longitudinal biomedical data, with application to CD4 counts in HIV‐positive patients

4. Proportional Hazards Regression with Missing Covariates

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