{"title":"A nonparametric analysis of discrete time competing risks data: a comparison of the\n cause-specific-hazards approach and the vertical approach","authors":"Bonginkosi D. Ndlovu, S. Melesse, T. Zewotir","doi":"10.59170/stattrans-2023-036","DOIUrl":null,"url":null,"abstract":"icolaie et al. (2010) have advanced a vertical model as the latest continuous time\n competing risks model. The main objective of this article is to re-cast this model as a\n nonparametric model for analysis of discrete time competing risks data. Davis and\n Lawrance (1989) have advanced a cause-specific-hazard driven method for summarizing\n discrete time data nonparametrically. The secondary objective of this article is to\n compare the proposed model to this model. We pay particular attention to the estimates\n for the cause-specific-hazards and the cumulative incidence functions as well as their\n respective standard errors.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
icolaie et al. (2010) have advanced a vertical model as the latest continuous time
competing risks model. The main objective of this article is to re-cast this model as a
nonparametric model for analysis of discrete time competing risks data. Davis and
Lawrance (1989) have advanced a cause-specific-hazard driven method for summarizing
discrete time data nonparametrically. The secondary objective of this article is to
compare the proposed model to this model. We pay particular attention to the estimates
for the cause-specific-hazards and the cumulative incidence functions as well as their
respective standard errors.
期刊介绍：
Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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