Introduction In this chapter, theE,V,Wmodelis extended to consider
other coding schemes for a single exposure variable,
including ordinal and interval exposures. The model is
further extended to allow for several exposure variables.
The formula for the odds ratio is provided for each exten-
sion, and examples are used to illustrate the formula.
Abbreviated Outline
Detailed Outline
The outline below gives the user a preview of the material
covered by the presentation. Together with the objectives,
this outline offers the user an overview of the content of
this module. A detailed outline for review purposes follows
the presentation.I. Overview (pages 76–77)
II. Odds ratio for other codings of a dichotomousE
(pages 77–79)
III. Odds ratio for arbitrary coding ofE(pages 79–82)
IV. The model and odds ratio for a nominal exposure
variable (no interaction case) (pages 82–84)
V. The model and odds ratio for several exposure
variables (no interaction case) (pages 85–87)
VI. The model and odds ratio for several exposure
variables with confounders and interaction
(pages 87–91)74 3. Computing the Odds Ratio in Logistic Regression