Categorical data analysis in primary care research: log-linear models.


Journal Article

Primary care researchers often wish to perform multiple variable analyses using variables measured at a nominal or ordinal level. This paper provides a step-by-step description of log-linear modeling, an approach uniquely well suited to explore and describe interactions among three or more nominal or ordinal variables. The method of log-linear analysis is illustrated with the use of an example from a primary care research project in which the relationships among hypertension, diet, and sodium were examined. The advantages and disadvantages of log-linear models and logistic regression are compared and available computer software programs discussed.

Full Text

Duke Authors

Cited Authors

  • Crabtree, BF; Gelfand, AE; Miller, WL; Zyzanski, S; O'Connor, PJ; Winsemius, D

Published Date

  • February 1, 1992

Published In

Volume / Issue

  • 24 / 2

Start / End Page

  • 145 - 151

PubMed ID

  • 1537448

Pubmed Central ID

  • 1537448

Electronic International Standard Serial Number (EISSN)

  • 1938-3800

International Standard Serial Number (ISSN)

  • 0742-3225


  • eng