A passive and inclusive strategy to impute missing values of a composite categorical variable with an application to determine HIV transmission categories-Reference-Cited by-同舟云学术

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A passive and inclusive strategy to impute missing values of a composite categorical variable with an application to determine HIV transmission categories

Published:2020-11 Issue: Volume:51 Page:41-47.e2
ISSN:1047-2797
Container-title:Annals of Epidemiology
language:en
Short-container-title:Annals of Epidemiology

Author:

Pan Yi,He Yulei,Song Ruiguang,Wang Guoshen,An Qian

Publisher

Elsevier BV

Subject

Epidemiology

Reference17 articles.

1. Multiple imputation for nonresponse in surveys;Rubin,1987

2. Risk factor redistribution of the national HIV/AIDS surveillance data: an alternative approach;McDavid;Public Health Rep,2008

3. Statistical analysis with missing data;Rubin,2019

4. Multiple imputation: review of theory, implementation and software;Harel;Stat Med,2007

5. SF-36 health survey;Ware,1993

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1. Multiple Imputation When Variables Exceed Observations: An Overview of Challenges and Solutions;Collabra: Psychology;2024

2. Methods for handling missing data in serially sampled sputum specimens for mycobacterial culture conversion calculation;BMC Medical Research Methodology;2022-11-19

3. Dealing with missing delirium assessments in prospective clinical studies of the critically ill: a simulation study and reanalysis of two delirium studies;BMC Medical Research Methodology;2021-05-06

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