巢式病例对照研究在存在竞争事件的队列中。

Nested case-control studies in cohorts with competing events.

机构信息

From the aInstitute of Medical Biometry and Medical Informatics, University of Freiburg, Freiburg, Germany; bFreiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany; cCentre for Clinical Vaccinology and Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; dMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; eHospital Universitari Arnau de Vilanova, Lleida, Spain; fUniversitat Autónoma de Barcelona, Barcelona, Spain; gService of Intensive Care Medicine, Hospital de Galdakao-Usansolo, Bizkaia, Spain; and hService of Intensive Care Medicine, Parc de Salut Mar, Barcelona, Spain.

出版信息

Epidemiology. 2014 Jan;25(1):122-5. doi: 10.1097/EDE.0000000000000029.

DOI:10.1097/EDE.0000000000000029

PMID:24240653

Abstract

In nested case-control studies, incidence density sampling is the time-dependent matching procedure to approximate hazard ratios. The cumulative incidence function can also be estimated if information from the full cohort is used. In the presence of competing events, however, the cumulative incidence function depends on the hazard of the disease of interest and on the competing events hazard. Using hospital-acquired infection as an example (full cohort), we propose a sampling method for nested case-control studies to estimate subdistribution hazard ratios. With further information on the full cohort, the cumulative incidence function for the event of interest can then be estimated as well.

摘要

在巢式病例对照研究中，密度抽样是一种依赖时间的匹配程序，用于近似风险比。如果使用完整队列的信息，也可以估计累积发病率函数。然而，在存在竞争事件的情况下，累积发病率函数取决于感兴趣疾病的风险和竞争事件的风险。以医院获得性感染为例（完整队列），我们提出了一种嵌套病例对照研究的抽样方法，以估计亚分布风险比。进一步了解完整队列的信息后，也可以估计感兴趣事件的累积发病率函数。