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FMCCSD: Efficient Estimation of Clustered Current Status Data
Current status data abounds in the field of epidemiology and public health, where the only observable data for a subject is the random inspection time and the event status at inspection. Motivated by such a current status data from a periodontal study where data are inherently clustered, we propose a unified methodology to analyze such complex data.
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Package details |
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| Author | Tong Wang [aut, cre], Kejun He [aut], Wei Ma [aut], Dipankar Bandyopadhyay [aut], Samiran Sinha [aut] |
| Maintainer | Tong Wang <tong@stat.tamu.edu> |
| License | GPL-2 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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