基于虚拟观测值的平均质量调整生存时间的回归分析。
Regression analysis of mean quality-adjusted survival time based on pseudo-observations.
作者信息
Tunes-da-Silva G, Klein J P
机构信息
Departamento de Estatística do Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil.
出版信息
Stat Med. 2009 Mar 30;28(7):1054-66. doi: 10.1002/sim.3529.
Abstract
Regression models for the mean quality-adjusted survival time are specified from hazard functions of transitions between two states and the mean quality-adjusted survival time may be a complex function of covariates. We discuss a regression model for the mean quality-adjusted survival (QAS) time based on pseudo-observations, which has the advantage of directly modeling the effect of covariates in the QAS time. Both Monte Carlo simulations and a real data set are studied.
摘要
基于两个状态之间转换的风险函数指定了平均质量调整生存时间的回归模型，并且平均质量调整生存时间可能是协变量的复杂函数。我们讨论了一种基于伪观测值的平均质量调整生存（QAS）时间回归模型，该模型具有直接对协变量在QAS时间中的影响进行建模的优点。同时研究了蒙特卡罗模拟和一个真实数据集。
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