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Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications
We hope to assess the different processing methodologies or the effectiveness of the devices or systems applied in this nonparametric statistical test by observing the failure behavior of the recorded survival data. The proposed second-order approach of new better than used (NBU 2) will be employed,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256341/ https://www.ncbi.nlm.nih.gov/pubmed/35799643 http://dx.doi.org/10.1155/2022/5075716 |
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author | Gadallah, A. M. Mohammed, B. I. Al-Babtain, Abdulhakim A. Khosa, Saima Khan Kilai, Mutua Yusuf, M. Bakr, M. E. |
author_facet | Gadallah, A. M. Mohammed, B. I. Al-Babtain, Abdulhakim A. Khosa, Saima Khan Kilai, Mutua Yusuf, M. Bakr, M. E. |
author_sort | Gadallah, A. M. |
collection | PubMed |
description | We hope to assess the different processing methodologies or the effectiveness of the devices or systems applied in this nonparametric statistical test by observing the failure behavior of the recorded survival data. The proposed second-order approach of new better than used (NBU 2) will be employed, which requires that the test data behaves either like NBU 2 property or exponentially. If the survival data is NBU 2, the proposed treatment method is likely to be beneficial. If the data are exponential, on the other hand, the recommended treatment method has no positive or negative influence on patients, as shown in the application section. To establish the validity of the test, we calculated the power of the proposed test and efficiency on both complete and censored data, compared the results to those of existing tests, and then applied the test to a range of real-world data. |
format | Online Article Text |
id | pubmed-9256341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92563412022-07-06 Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications Gadallah, A. M. Mohammed, B. I. Al-Babtain, Abdulhakim A. Khosa, Saima Khan Kilai, Mutua Yusuf, M. Bakr, M. E. Comput Math Methods Med Research Article We hope to assess the different processing methodologies or the effectiveness of the devices or systems applied in this nonparametric statistical test by observing the failure behavior of the recorded survival data. The proposed second-order approach of new better than used (NBU 2) will be employed, which requires that the test data behaves either like NBU 2 property or exponentially. If the survival data is NBU 2, the proposed treatment method is likely to be beneficial. If the data are exponential, on the other hand, the recommended treatment method has no positive or negative influence on patients, as shown in the application section. To establish the validity of the test, we calculated the power of the proposed test and efficiency on both complete and censored data, compared the results to those of existing tests, and then applied the test to a range of real-world data. Hindawi 2022-06-28 /pmc/articles/PMC9256341/ /pubmed/35799643 http://dx.doi.org/10.1155/2022/5075716 Text en Copyright © 2022 A. M. Gadallah et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gadallah, A. M. Mohammed, B. I. Al-Babtain, Abdulhakim A. Khosa, Saima Khan Kilai, Mutua Yusuf, M. Bakr, M. E. Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title | Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title_full | Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title_fullStr | Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title_full_unstemmed | Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title_short | Modeling Various Survival Distributions using a Nonparametric Hypothesis Testing Based on Laplace Transform Approach with Some Real Applications |
title_sort | modeling various survival distributions using a nonparametric hypothesis testing based on laplace transform approach with some real applications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256341/ https://www.ncbi.nlm.nih.gov/pubmed/35799643 http://dx.doi.org/10.1155/2022/5075716 |
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