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

Mehwish Hussain, Nazeer Khan, Mudassir Uddin

Abstract


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.


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DOI: http://dx.doi.org/10.18187/pjsor.v10i4.780

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Title

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

Keywords


Description

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.


Date

2014-12-31

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 10 No. 4, 2014



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810