TWO SAMPLE COMPARISON FOR LARGE GROUPS OF CORRELATED BINARY RESPONSES
β Scribed by ERIC W. LEE
- Book ID
- 102650289
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 678 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
β¦ Synopsis
Although there is much literature on testing the treatment effect in experiments with correlated binary outcomes, the existing methodologies only work well when the cluster size is small. In this paper, I propose a simple method to test the treatment effect in experiments with large groups of correlated binary outcomes. I use the weighted estimating equations approach to estimate the treatment effect. The proposal is appropriate under any correlation structure. Power comparisons show the advantage of the new procedure.
π SIMILAR VOLUMES
The study of twins is widely used for research into genetic and environmental influences on human outcome measurements. For the study design in which independent samples of monozygotic and dizygotic twins are compared with respect to their similarity on a binary trait, several statistical methods ha