A scalable approach to measuring the impact of nonignorable nonresponse with an EMA application-Reference-Cited by-同舟云学术

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A scalable approach to measuring the impact of nonignorable nonresponse with an EMA application

Published:2016-08-18 Issue:30 Volume:35 Page:5579-5602
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Gao Weihua¹,Hedeker Donald²,Mermelstein Robin³,Xie Hui¹⁴

Affiliation:

1. Division of Epidemiology and Biostatistics; School of Public Health, University of Illinois at Chicago; Chicago IL U.S.A.

2. Department of Public Health Sciences; The University of Chicago; Chicago IL U.S.A

3. Department of Psychology and School of Public Health; University of Illinois at Chicago; Chicago IL U.S.A.

4. Simon Fraser University; Burnaby British Columbia Canada

Funder

National Cancer Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference35 articles.

1. Inference and missing data (with discussion);Rubin;Biometrika,1976

2. Modeling the drop-out mechanism in longitudinal studies;Little;Journal of the American Statistical Association,1995

3. Missing Data in Longitudinal Studies

4. Inference for non-random samples (with discussion);Copas;Journal of the Royal Statistical Society B,1997

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