Abstract
The problem of assessing synergistic or antagonistic departure from simple independent action in multifactor tables of proportions is discussed. A generalized linear model is employed in which additivity corresponds to simple independent action. Data-analytic strategies are proposed for exploring departures from simple independent action in various extensions of the 2 x 2 table of proportions. This methodology is illustrated with a series of models fitted to cellular differentiation and murine toxicity data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 595-603 |
| Number of pages | 9 |
| Journal | Biometrics |
| Volume | 44 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1988 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics