NDLI: Two-Part Predictors in Regression Models

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Two-Part Predictors in Regression Models

Content Provider	Scilit
Author	Dziak, John Henry, Kimberly L.
Copyright Year	2017
Description	Journal: Multivariate behavioral research Researchers often build regression models to relate a response to a set of predictor variables. In some cases there are predictors that apply to some participants, or to some measurement occasions, but not others. For example, a romantic partner's substance use may be a key predictor of one's own substance use. However, not all participants have a partner, and in a longitudinal study, participants may have a partner during only some occasions. This could be viewed as missing data, but of a very distinctive type: the values are not just unknown but also undefined. In this paper we present a simple method to accommodate this situation, along with a motivating example, the algebraic justification, a simulation study, and examples of how to carry out the technique.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764087/pdf
Ending Page	561
Page Count	11
Starting Page	551
ISSN	00273171
e-ISSN	15327906
DOI	10.1080/00273171.2017.1333404
Journal	Multivariate behavioral research
Issue Number	5
Volume Number	52
Language	English
Publisher	Informa UK Limited
Publisher Date	2017-09-03
Access Restriction	Open
Subject Keyword	Journal: Multivariate behavioral research Statistics and Probability Two-part Predictors Two-part Models Nested Factors Relationship Status Substance Use
Content Type	Text
Subject	Experimental and Cognitive Psychology Statistics and Probability Arts and Humanities Medicine

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