ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2017
Comparing of Cox model and parametric models in analysis of effective factors on event time of neuropathy in patients with type 2 diabetes.
Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
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- Factors associated with time to first birth interval among ever married Bangladeshi women: A comparative analysis on Cox-PH model and parametric models.PLOS global public health · 2024Article
- Estimation of the onset time of diabetic complications in type 2 diabetes patients in Thailand: a survival analysis.Osong public health and research perspectives · 2023Article
- Survival model application for analysis of neonatal length of stay.Clinical and experimental pediatrics · 2020Article
- Evaluation of goodness of fit of semiparametric and parametric models in analysis of factors associated with length of stay in neonatal intensive care unit.Clinical and experimental pediatrics · 2020Article
- Incidence and Predictors of Virologic Failure Among Children on First-Line Antiretroviral Therapy in Northwest Ethiopia: A Multicenter Retrospective Follow-Up Study.Journal of the International Association of Providers of AIDS CareArticle
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4 authors.
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Abstract
backgroundCox proportional hazard model is the most common method for analyzing the effects of several variables on survival time. However, under certain circumstances, parametric models give more precise estimates to analyze survival data than Cox. The purpose of this study was to investigate the comparative performance of Cox and parametric models in a survival analysis of factors affecting the event time of neuropathy in patients with type 2 diabetes. MATERIALS AND
methodsThis study included 371 patients with type 2 diabetes without neuropathy who were registered at Fereydunshahr diabetes clinic. Subjects were followed up for the development of neuropathy between 2006 to March 2016. To investigate the factors influencing the event time of neuropathy, significant variables in univariate model (
resultsUsing Kaplan-Meier, survival time of neuropathy was computed 76.6 ± 5 months after initial diagnosis of diabetes. After multivariate analysis of Cox and parametric models, ethnicity, high-density lipoprotein and family history of diabetes were identified as predictors of event time of neuropathy (
conclusionAccording to AIC, "log-normal" model with the lowest Akaike's was the best-fitted model among Cox and parametric models. According to the results of comparison of survival receiver operating characteristics curves, log-normal model was considered as the most efficient and fitted model.
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