Objectives Upon completion of this chapter, the learner should be
able to:
- State or recognize the procedure used when carrying
out matching in a given study. - State or recognize at least one advantage and one
disadvantage of matching. - State or recognize when to match or not to match in a
given study situation. - State or recognize why attaining validity is not a
justification for matching. - State or recognize two equivalent ways to analyze
matched data using stratification. - State or recognize the McNemar approach for
analyzing pair-matched data. - State or recognize the general form of the logistic
model for analyzing matched data as anE,V,W-type
model. - State or recognize an appropriate logistic model for
the analysis of a specified study situation involving
matched data. - State how dummy or indicator variables are defined
and used in the logistic model for matched data. - Outline a recommended strategy for the analysis of
matched data using logistic regression. - Apply the recommended strategy as part of the
analysis of matched data using logistic regression. - Describe and/or illustrate two options for assessing
interaction of the exposure variable with the matching
variables in anE,V,W-type model. - Describe and/or illustrate when it would be
appropriate to pool “exchangeable” matched sets. - State and/or illustrate theE,V,Wmodel for matched
follow-up data.
Objectives 391