Testing the missingness mechanism in longitudinal surveys: a case study using the Health and Retirement Study-Reference-Cited by-同舟云学术

Testing the missingness mechanism in longitudinal surveys: a case study using the Health and Retirement Study

Published:2022-03-21 Issue: Volume: Page:1-14
ISSN:1364-5579
Container-title:International Journal of Social Research Methodology
language:en
Short-container-title:International Journal of Social Research Methodology

Author:

Lu Peiyi¹²^ORCID,Shelley Mack³^ORCID

Affiliation:

1. Departments of Statistics and Political Science, Iowa State University, Ames, Iowa, USA

2. Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA

3. Departments of Political Science and Statistics, and School of Education, Iowa State University, Ames, Iowa, USA

Funder

fundings

Publisher

Informa UK Limited

Subject

General Social Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/13645579.2022.2049509

Reference43 articles.

1. Using Generalized Estimating Equations for Longitudinal Data Analysis

2. An introduction to modern missing data analyses

3. Beaujean, A. A. (2012). BaylorEdPsych: R Package for Baylor University Educational Psychology Quantitative Courses. R package version 0.5. https://CRAN.R-project.org/package=BaylorEdPsych

4. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

5. How can I deal with missing data in my study?

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