Objectives Upon completion of this chapter, the learner should be
able to:
- State or recognize the logistic model for a simple
analysis. - Given a model for simple analysis:
a. state an expression for the odds ratio describing the
exposure–disease relationship
b. state or recognize the null hypothesis of no
exposure–disease relationship in terms of
parameter(s) of the model
c. compute or recognize an expression for the risk for
exposed or unexposed persons separately
d. compute or recognize an expression for the odds of
getting the disease for exposed or unexposed
persons separately - Given two (0, 1) independent variables:
a. state or recognize a logistic model that allows for
the assessment of interaction on a multiplicative
scale
b. state or recognize the expression for no interaction
on a multiplicative scale in terms of odds ratios for
different combinations of the levels of two (0, 1)
independent variables
c. state or recognize the null hypothesis for no
interaction on a multiplicative scale in terms of one
or more parameters in an appropriate logistic
model - Given a study situation involving a (0, 1) exposure
variable and several control variables:
a. state or recognize a logistic model that allows
for the assessment of the exposure-disease
relationship, controlling for the potential
confounding and potential interaction effects
of functions of the control variables
b. compute or recognize the expression for the odds
ratio for the effect of exposure on disease status
adjusting for the potential confounding and
interaction effects of the control variables in the
model
c. state or recognize an expression for the null
hypothesis of no interaction effect involving one
or more of the effect modifiers in the model
d. assuming no interaction, state or recognize an
expression for the odds ratio for the effect of
exposure on disease status adjusted for
confounders
Objectives 43