A Parametric Cox Proportional Hazard Model with Application

Precious O. Ibeakuzie, S. Onyeagu
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Abstract

Survival analysis has become integral to clinical studies, especially in emerging diseases and terminal ailments. This study focused on improving the popular Cox PH model. The new method developed is a parametric type, incorporating the hazard rate of the exponential distribution. It was noted that though the functional form of the Cox PH model was altered, the assumptions were upheld. Additionally, the new model parameters were estimated using the same maximum partial likelihood as the Cox model. Data on the survival times of 137 patients who underwent bone marrow transplants were deployed, and the proposed parametric Cox PH model proved superior to the Cox PH model.
参数考克斯比例危害模型及其应用
生存分析已成为临床研究不可或缺的一部分,尤其是在新发疾病和绝症方面。这项研究的重点是改进流行的 Cox PH 模型。所开发的新方法是一种参数型方法,纳入了指数分布的危险率。我们注意到,虽然 Cox PH 模型的函数形式有所改变,但其假设条件得以保留。此外,新模型参数的估算采用了与 Cox 模型相同的最大部分似然法。研究使用了 137 名接受骨髓移植的患者的生存时间数据,结果证明拟议的参数 Cox PH 模型优于 Cox PH 模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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