Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models
| Autor: | Tony Vangeneugden, Caroline Beunckens, Helena Geys, Geert Molenberghs, Cristina Sotto, Annouschka Laenen |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Statistics and Probability
Analysis of covariance Generalized linear model binary data intraclass correlation random effects reliability variances Statistics Binary data Applied mathematics Regression analysis Marginal distribution Random effects model Linear discriminant analysis Generalized linear mixed model Mathematics |
| Popis: | This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable. Financial support from the IAP research network #P6/03 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged. |
| Databáze: | OpenAIRE |
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