Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups
Abstract Objective Missing data in longitudinal studies may constitute a source of bias. We suggest three simple missing data indicators for the initial phase of getting an overview of the missingness pattern in a dataset with a high number of follow-ups. Possible use of the indicators is exemplifie...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-02-01
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Series: | BMC Research Notes |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13104-018-3228-6 |