| Autor: |
Necati Alp Erilli, Kamil Alakuş |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
Journal of Biometrics & Biostatistics. |
| ISSN: |
2155-6180 |
| DOI: |
10.4172/2155-6180.1000116 |
| Popis: |
Log-logistic and Weibull distributions have both accelerated survival time property. The log-logistic distribution has also proportional odds property. Log-logistic distribution has unimodal hazard curve which changes direction. Link [6,7] presented a confidence interval estimate of survival function using Cox\'s proportional hazard model with covariates. Her idea more recently extended by [1] to the exponential distribution and [2] to exponential proportional hazard model, respectively. The same idea has been extended to the Weibull proportional hazard regression model by [3]. In this study, it is formed on confidence interval for log-logistic distribution survival function for any values of the time provided that the survival times have a log-logistic distributed random variable. It is also extended the same results to the proportional odds regression. A Real time data and a simulation data examples are also considered in the study for illustration the discussed confidence interval. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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