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| Titel: |
A unified approach to estimating association measures via a joint generalized linear model for paired binary data |
| Auteur: |
Qu, Yinsheng Tan, Ming Rybicki, Lisa |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 29 (2000) nr. 1 pagina's 143-156 |
| Jaar: |
2000 |
| Inhoud: |
Paired binary data arise frequently in biomedical studies with unique features of their own. For instance, in clinical studies involving pairs such as ears, eyes etc., often both the intrapair association parameter and the event probability are of interest. In addition, we may be interested in the dependence of the association parameter on certain covariates as well. Although various methods have been proposed to model paired binary data, this paper proposes a unified approach for estimating various intrapair measures under a generalized linear model with simultaneous maximum likelihood estimates of the marginal probabilities and the intrapair association. The methods are illustrated with a twin morbidity study. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 2 van 18 gevonden artikelen
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