A corrected smoothed score approach for semiparametric accelerated failure time model with error-contaminated covariates.
A corrected smoothed score approach for semiparametric accelerated failure time model with error-contaminated covariates.
复制标题
具有错误污染协变量的半参数加速失效时间模型的校正平滑评分方法。
DOI：
10.1002/sim.9847
复制
发表时间：
2023
影响因子：
2
通讯作者：
Song,Xiao
中科院分区：
文献类型：
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作者：
Song,Xiao
研究了多协变量带误差的半参数加速失效时间模型。AFT模型的现有方法要么不一致，计算密集，或需要严格的假设。为了克服这些局限性，我们开发了一种误差污染变量的一般光滑函数的校正方法。我们将此方法应用于AFT模型的平滑秩基得分函数。该估计量是相合的且渐近正态的。通过模拟研究评估了该方法的有限样本性能。该方法说明了应用程序的数据从艾滋病毒临床试验。
We consider the semiparametric accelerated failure time (AFT) model with multiple covariates measured with error. Existing methods for the AFT model are either inconsistent, computationally intensive, or require stringent assumptions. To overcome these limitations, we develop a correction approach for a general smooth function of error‐contaminated variables. We apply this method to the smoothed rank‐based score function for the AFT model. The estimator is consistent and asymptotically normal. The finite‐sample performance of the method is assessed by simulation studies. The approach is illustrated by application to data from an HIV clinical trial.