Skip to main content
Book Chapter

General Loglinear Models for Identifying Subgroups with Large Health Risks (12 Populations)

  • Cleophas T
  • Zwinderman A
Springer International Publishing, (2016), 143-149
DOI: 10.1007/978-3-319-20600-4_24
N/ACitations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Data files that assess the effect of discrete predictors on frequency counts of morbidities/mortalities can be assessed with multiple linear regression. However, the results do not mean too much, if the predictors interact with one another. In that case they can be cross-classified in tables of multiple cells using general loglinear modeling.

Cite

CITATION STYLE

APA

Cleophas, T. J., & Zwinderman, A. H. (2016). General Loglinear Models for Identifying Subgroups with Large Health Risks (12 Populations). In SPSS for Starters and 2nd Levelers (pp. 143–149). Springer International Publishing. https://doi.org/10.1007/978-3-319-20600-4_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free