Department of Statistics, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel.
Biostatistics. 2010 Apr;11(2):290-303. doi: 10.1093/biostatistics/kxp048. Epub 2009 Nov 23.
The competing risks illness-death model describes the dynamics of healthy subjects who may move to an "illness" state before entering into one of several competing terminal states. A motivating example concerns patients in a hospital who may acquire infections during their stay, where the competing terminal states are discharged alive and death in the hospital. We consider a cross-sectional sampling of independent competing risks illness-death processes in which data are subject to length bias and censoring and develop estimators for functionals of the underlying distribution such as the joint probability of the terminal state and illness (infection) and cumulative incidence functions. We apply the methodology to infection data obtained in a cross-sectional study of patients hospitalized in intensive care units.
竞争风险发病-死亡模型描述了健康受试者的动态变化，他们可能在进入多个竞争的终末状态之前进入“疾病”状态。一个有启发性的例子涉及到医院的患者，他们在住院期间可能会感染，其中竞争的终末状态是活着出院和在医院死亡。我们考虑了独立竞争风险发病-死亡过程的横截面抽样，其中数据受到长度偏差和删失的影响，并为基础分布的函数（例如终端状态和疾病（感染）的联合概率和累积发生率函数）开发了估计量。我们将该方法应用于在重症监护病房住院患者的横截面研究中获得的感染数据。
