Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships-Reference-Cited by-同舟云学术

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Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships

Published:2022-07-27 Issue:22 Volume:41 Page:4385-4402
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Wijesuriya Rushani¹²^ORCID,Moreno‐Betancur Margarita¹²^ORCID,Carlin John¹²³,De Silva Anurika Priyanjali³^ORCID,Lee Katherine Jane¹²

Affiliation:

1. Department of Pediatrics, Faculty of Medicine Dentistry and Health Sciences The University of Melbourne Melbourne Victoria Australia

2. Clinical Epidemiology and Biostatistics Unit Murdoch Children's Research Institute Melbourne Victoria Australia

3. Center for Epidemiology and Biostatistics Melbourne School of Population and Global Health, University of Melbourne Melbourne Victoria Australia

Funder

Australian Research Council

State Government of Victoria

National Health and Medical Research Council

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9515

Reference54 articles.

1. Study protocol: the Childhood to Adolescence Transition Study (CATS)

2. The Consequences of Ignoring Individuals' Mobility in Multilevel Growth Models

3. The Impacts of Ignoring a Crossed Factor in Analyzing Cross-Classified Data

Cited by 1 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. Multiple imputation methods for missing multilevel ordinal outcomes;BMC Medical Research Methodology;2023-05-09

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