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Analysis of Clustered and Interval Censored Data from a Community‐based Study in Asthma by Scarlett L. Bellamy; Yi Li; Louise M. Ryan; Stuart Lipsitz; Marina J. Canner; Rosalind Wright is a Mathematics article available to read on EtoBox.
What is Analysis of Clustered and Interval Censored Data from a Community‐based Study in Asthma about?
## Abstract Many authors in recent years have proposed extensions of familiar survival analysis methodologies to apply in dependent data settings, for example, when data are clustered or subject to repeated measures. However, these extensions have been considered largely in the context of right censored data. In this paper, we discuss a parametric frailty model for the analysis of clustered and interval censored failure time data. Details are presented for the specific case where the underlying time to event data follow a Weibull distribution. Maximum likelihood estimates will be obtained using commercially available software and the empirical efficiency of these estimators will be explored via a simulation study. We also discuss a score test to make inferences about the magnitude and significance of over‐dispersion in clustered data settings. These methods will be illustrated using data from the East Boston Asthma Study. Copyright © 2004 John Wiley & Sons, Ltd.
Who reads Analysis of Clustered and Interval Censored Data from a Community‐based Study in Asthma?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Scarlett L. Bellamy; Yi Li; Louise M. Ryan; Stuart Lipsitz; Marina J. Canner; Rosalind Wright
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 2004
- Language
- EN
- Field
- Mathematics (Physical Sciences)