Robust and Efficient Parametric Estimation for Censored Survival Data
โ Scribed by Srabashi Basu; Ayanendranath Basu; M. C. Jones
- Publisher
- Springer Japan
- Year
- 2006
- Tongue
- English
- Weight
- 164 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0020-3157
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๐ SIMILAR VOLUMES
We derive a non-parametric maximum likelihood estimator for bivariate interval censored data using standard techniques for constrained convex optimization. Our approach extends those taken for univariate interval censored data. We illustrate the estimator with bivariate data from an AIDS study.
Multistate survival models for partially censored data are of great interest for investigating factors attributing to transitions from one state of survival to other states of survival or death. Kay (1982) extended the proportional hazards model for a multistate framework with several transient stat
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