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Sensitivity Analysis for Lifetime Responses Using Log-Beta Weibull Distribution
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Ehsan Bahrami Samani *   , Samira Bahramian |
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Abstract: (1465 Views) |
The occurrence of lifetime data is a problem which is commonly encountered in various researches, including surveys, clinical trials and epidemioligical studies. Recently there has been extensive methodological resarech on analyzing lifetime data. Howerver, because usually little information from data is available to corretly estimate, the inferences might be sensitive to untestable assumptions which this calls for a sensitivity analysis to be performed.
In this paper, we describe how to evaluate the effect that perturbations to the Log-Beta Weibull Regression Responses. Also, we review and extend the application and interpretation of influence analysis methods using censored data analysis. A full likelihood-based approach that allows yielding maximum likelihood estimates of the model parameters is used. Some simulation studies are conducted to evalute the performance of the proposed indices in ddetecting sensitivity of key model parameters. We illustrate the methods expressed by analyzing the cancer data. |
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| Keywords: Sensitivity Analysis, Log-Beta Weibull Regression, censored data, maximum likelihood estimation, Cancer data. |
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Full-Text [PDF 249 kb]
(649 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2021/01/4 | Accepted: 2021/11/22 | Published: 2021/12/1
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