Study of efficiency time of recombinant DNA insulin via accelerated life testing and interval censoring.

dc.contributor.authorIlambwetsi, Patrícia de Sousa
dc.contributor.authorGouvêa, Graziela Dutra Rocha
dc.contributor.authorCruz, Frederico Rodrigues Borges da
dc.contributor.authorOliveira, Fernando Luiz Pereira de
dc.date.accessioned2018-10-24T14:29:35Z
dc.date.available2018-10-24T14:29:35Z
dc.date.issued2018
dc.description.abstractThis paper aims to study the efficiency of recombinant DNA insulin via models for accelerated life tests. The potency loss of these insulin products was evaluated periodically, subject to the conditions of temperature of 8°C, 25°C and 37°C. Insulin samples with potency at less than 100% were considered unfit for consumption, which characterizes the event of interest. Samples suitable for consumption were considered to be censored. The response variable was observed periodically for 736 days. For data analysis, statistical models of stress-response regression were used. The deterministic part of these models is the Arrhenius model because the stress variable is the temperature, while the probabilistic part was comprised of the Exponential, Weibull, and Log-normal models. The techniques of accelerated life tests proved adequate to address the time of potency loss of the insulin for the various temperature levels. The times of occurrence of the events were treated in three different ways, which were compared in this study. First, interval censoring was considered, or only the upper and lower limits of the interval in which the failure occurred were known. Then, the midpoint of this interval was considered as a failure time. Finally, only the lower limit of the interval in which the failure occurred was considered. According to the results, it is concluded that the use of the interval lower limit is more appropriate for estimating the reliability curves, as the estimates are closer to those using interval censoring then using the midpoint of the interval. For the specific case of the recombinant DNA insulin data, it was observed that the Arrhenius-Weibull model and the Arrhenius-lognormal are suitable for adjusting the data. It follows also that the temperature affects the power of the insulin: The higher the temperature are, the lesser the efficiency.pt_BR
dc.identifier.citationILAMBWETSI, P. de S. et al. Study of efficiency time of recombinant DNA insulin via accelerated life testing and interval censoring. Revista Brasileira de Biometria, v. 36, n. 1, p. 207-229, mar. 2018. Disponível em: <http://www.biometria.ufla.br/index.php/BBJ/article/view/165>. Acesso em: 16 jun. 2018.pt_BR
dc.identifier.issn19830823
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/10435
dc.language.isoen_USpt_BR
dc.rightsabertopt_BR
dc.rights.licenseAll content of Revista Brasileira de Biometria - UFLA, except where noted, is licensed under a Creative Commons 4.0 International. The journal uses for licensing the transfer of rights Creative commons attribution 3.0 to open access journals Open Archives Iniciative - OAI -, categoria green road. Fonte: Revista Brasileira de Biometria -UFLA <http://www.biometria.ufla.br/index.php/BBJ/about>. Acesso em: 10 jan. 2018.pt_BR
dc.subjectStress variablept_BR
dc.subjectExact failure timespt_BR
dc.titleStudy of efficiency time of recombinant DNA insulin via accelerated life testing and interval censoring.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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