Bayesian Analysis of Survival Data with Missing Censoring Indicators and Simulation of Interval Censored Data
In some large clinical studies, it may be impractical to give physical examinations to every subject at his/her last monitoring time in order to diagnose the occurrence of an event of interest. This challenge creates survival data with missing censoring indicators where the probabi...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/2018_Su_Bunn_fsu_0071E_14742 |