Abstract
Two statistical methods, a polychotomous and pairwise approach, are presented to derive estimates of the relative odds in a matched case-control design when multiple case or control groups are used. Test statistics are derived to determine if the relative odds between groups are different. The polychotomous method is limited to case-control sets, i.e., where data are available on all members of a matched set. in contrast, the pairwise method makes use of data from both complete and incomplete sets. Nonetheless, efficiency calculations show that the polychotomous logistic regression model is more efficient even when 40 per cent of the case-control sets are incomplete. An example using a single dichotomous variable is provided.
Original language | English (US) |
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Pages (from-to) | 720-730 |
Number of pages | 11 |
Journal | American journal of epidemiology |
Volume | 125 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1987 |
Externally published | Yes |
Keywords
- Epidemiologic methods
- Regression analysis
- Retrospective studies
- Statistics
ASJC Scopus subject areas
- Epidemiology