Shih Joanna H, Albert Paul S
Biometric Research Branch, National Cancer Institute, Rockville, Maryland 20852, USA.
Biometrics. 2010 Dec;66(4):1012-23. doi: 10.1111/j.1541-0420.2009.01372.x.
In genetic family studies, ages at onset of diseases are routinely collected. Often one is interested in assessing the familial association of ages at the onset of a certain disease type. However, when a competing risk is present and is related to the disease of interest, the usual measure of association by treating the competing event as an independent censoring event is biased. We propose a bivariate model that incorporates two types of association: one is between the first event time of paired members, and the other is between the failure types given the first event time. We consider flexible measures for both types of association, and estimate the corresponding association parameters by adopting the two-stage estimation of Shih and Louis (1995, Biometrics 51, 1384-1399) and Nan et al. (2006, Journal of the American Statistical Association 101, 65-77). The proposed method is illustrated using the kinship data from the Washington Ashkenazi Study.
在基因家族研究中，通常会收集疾病的发病年龄。人们常常对评估某一特定疾病类型发病年龄的家族关联性感兴趣。然而，当存在竞争风险且该风险与所关注的疾病相关时，将竞争事件视为独立删失事件的常用关联度量方法会产生偏差。我们提出了一个双变量模型，该模型纳入了两种关联类型：一种是配对成员的首次事件时间之间的关联，另一种是给定首次事件时间下的失败类型之间的关联。我们考虑了这两种关联类型的灵活度量方法，并采用施和路易斯（1995年，《生物统计学》51卷，1384 - 1399页）以及南等人（2006年，《美国统计协会杂志》101卷，65 - 77页）的两阶段估计方法来估计相应的关联参数。使用来自华盛顿阿什肯纳兹研究的亲属关系数据对所提出的方法进行了说明。
