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  • 标题:Log-Normal Duration Model is the Best Fitted Model for Duration from Chest Pain to Coronary Artery Disease Diagnosis: An Outcome of Retrospective Cross Sectional Study
  • 本地全文:下载
  • 作者:Mehwish Hussain ; Nazeer Khan ; Mudassir Uddin
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2014
  • 卷号:10
  • 期号:4
  • 页码:455-465
  • DOI:10.1234/pjsor.v10i4.780
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Cox proportional hazard model is the widely used technique for studying duration data. However, studies showed parametric modeling yields better estimation; though these models are less used due to their complicated application and interpretation. Alongside, the duration from chronic chest pain to the diagnosis of coronary artery disease has not evaluated in the literature. Therefore, this research investigated application of parametric modeling on the current duration while studying outcome from cross-sectional study. Akaike Information Criteria was used to adjudicate different duration models.
  • 关键词:Biostatistics; Data Analysis
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