Categorical data analysis in primary care research: log-linear models.
Publication/Presentation Date
2-1-1992
Abstract
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.
Volume
24
Issue
2
First Page
145
Last Page
151
ISSN
0742-3225
Published In/Presented At
Crabtree, B. F., Gelfand, A. E., Miller, W. L., Zyzanski, S., O'Connor, P. J., & Winsemius, D. (1992). Categorical data analysis in primary care research: log-linear models. Family medicine, 24(2), 145–151.
Disciplines
Medicine and Health Sciences
PubMedID
1537448
Department(s)
Department of Family Medicine
Document Type
Article