Analysis of longitudinal multivariate outcome data from couples cohort studies: application to HPV transmission dynamics.

Analysis of longitudinal multivariate outcome data from couples cohort studies: application to HPV transmission dynamics.
复制标题

DOI:
10.1080/01621459.2014.991394
复制
发表时间:
2015-06-01
影响因子:
3.7
通讯作者:
Gray R
Gray R
中科院分区:
数学1区
文献类型:
--
作者:
Kong X;Wang MC;Gray R

文献摘要

被引文献

相似文献

我们考虑相关数据的一个特定情况,其中对一对夫妇的每个成员重复测量多个结果。这种多变量的纵向数据,从夫妇可能会表现出多方面的相关性,这可能会进一步复杂,如果有一夫多妻制的伙伴关系。一个例子是关于异性恋夫妇中人乳头瘤病毒(HPV)传播动力学的队列研究数据。HPV是一种常见的性传播疾病,已知有14种致癌类型,可导致肛门生殖器癌。随着时间的推移,在夫妇中测量的多种类型的二元结果可能会引入类型间,夫妇内和时间相关性。使用广义估计方程或随机效应模型的简单分析缺乏可解释性,不能充分利用现有信息。我们开发了一种混合建模策略,使用马尔可夫转移模型与成对复合似然分析这些数据。该方法可用于识别与HPV传播和持续性相关的风险因素,估计男性对女性和女性对男性HPV传播之间的风险差异,比较夫妇内的类型特异性传播风险,并表征类型间和夫妇内的关联。将该方法应用于乌干达男性包皮环切术(MC)试验中收集的HPV夫妇数据,我们评估了MC的影响和性别对HPV传播和持续性风险的作用。
We consider a specific situation of correlated data where multiple outcomes are repeatedly measured on each member of a couple. Such multivariate longitudinal data from couples may exhibit multi-faceted correlations which can be further complicated if there are polygamous partnerships. An example is data from cohort studies on human papillomavirus (HPV) transmission dynamics in heterosexual couples. HPV is a common sexually transmitted disease with 14 known oncogenic types causing anogenital cancers. The binary outcomes on the multiple types measured in couples over time may introduce inter-type, intra-couple, and temporal correlations. Simple analysis using generalized estimating equations or random effects models lacks interpretability and cannot fully utilize the available information. We developed a hybrid modeling strategy using Markov transition models together with pairwise composite likelihood for analyzing such data. The method can be used to identify risk factors associated with HPV transmission and persistence, estimate difference in risks between male-to-female and female-to-male HPV transmission, compare type-specific transmission risks within couples, and characterize the inter-type and intra-couple associations. Applying the method to HPV couple data collected in a Ugandan male circumcision (MC) trial, we assessed the effect of MC and the role of gender on risks of HPV transmission and persistence.