Correspondence analysis and logistic modelling: complementary use in the analysis of a health survey among nurses.
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.
Leclerc
A
A
Unité 88 de l'INSERM, Paris, France.
Luce
D
D
Lert
F
F
Chastang
J F
JF
Logeay
P
P
D000328:Adult; D003627:Data Interpretation, Statistical; D005602:France; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D009726:Nurses; D014940:Work Schedule Tolerance