Lin Jianchang, Sinha Debajyoti, Lipsitz Stuart, Polpo Adriano
Department of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Biometrics. 2012 Dec;68(4):1136-45. doi: 10.1111/j.1541-0420.2012.01782.x. Epub 2012 Sep 26.
We present a novel semiparametric survival model with a log-linear median regression function. As a useful alternative to existing semiparametric models, our large model class has many important practical advantages, including interpretation of the regression parameters via the median and the ability to address heteroscedasticity. We demonstrate that our modeling technique facilitates the ease of prior elicitation and computation for both parametric and semiparametric Bayesian analysis of survival data. We illustrate the advantages of our modeling, as well as model diagnostics, via a reanalysis of a small-cell lung cancer study. Results of our simulation study provide further support for our model in practice.
我们提出了一种具有对数线性中位数回归函数的新型半参数生存模型。作为现有半参数模型的一种有用替代方法，我们的大型模型类别具有许多重要的实际优势，包括通过中位数对回归参数进行解释以及处理异方差性的能力。我们证明，我们的建模技术便于对生存数据进行参数和半参数贝叶斯分析时的先验引出和计算。我们通过对一项小细胞肺癌研究的重新分析来说明我们建模的优势以及模型诊断。我们模拟研究的结果为我们的模型在实际应用中提供了进一步的支持。
