title: Correspondence analysis and logistic modelling: complementary use in the analysis of a health survey among nurses.
abstract: Logistic or other modelling approaches are often appropriate for studying epidemiological data. However, health surveys may be more complex. With numerous variables, there is a need for exploratory analysis. Parsimonious description of the data is also a useful complement to modelling. Correspondence analysis may be useful in such exploratory phases. An example of the complementary use of the two approaches is presented in the context of a health survey among nurses, which focused on the relationship between shift and night work, and declared health problems.
authors.affiliation: Unité 88 de l'INSERM, Paris, France.
authors.forename: A
authors.initials: A
authors.lastname: Leclerc
authors.forename: D
authors.initials: D
authors.lastname: Luce
authors.forename: F
authors.initials: F
authors.lastname: Lert
authors.forename: J F
authors.initials: JF
authors.lastname: Chastang
authors.forename: P
authors.initials: P
authors.lastname: Logeay
mesh_terms: D000328:Adult; D003627:Data Interpretation, Statistical; D005602:France; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D009726:Nurses; D014940:Work Schedule Tolerance