Review and evaluation of imputation methods for multivariate longitudinal data with mixed‐type incomplete variables-Reference-Cited by-同舟云学术

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Review and evaluation of imputation methods for multivariate longitudinal data with mixed‐type incomplete variables

Published:2022-10-11 Issue:30 Volume:41 Page:5844-5876
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Cao Yi¹^ORCID,Allore Heather²³,Vander Wyk Brent²,Gutman Roee¹

Affiliation:

1. Department of Biostatistics Brown University Providence Rhode Island USA

2. Section of Geriatrics, Department of Internal Medicine Yale School of Medicine New Haven Connecticut USA

3. Department of Biostatistics Yale School of Medicine New Haven Connecticut USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9592

Reference71 articles.

1. Handbook of Missing Data Methodology

2. Maximum likelihood from incomplete data via the EM algorithm;Dempster AP;J R Stat Soc B Methodol,1977

3. The Calculation of Posterior Distributions by Data Augmentation

4. Missing‐data adjustments in large surveys;Little RJA;J Bus Econom Stat,1988

5. Methods of Weighting for Unit Non-Response

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2. Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study;International Statistical Review;2024-03-19

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