Karmakar Bikram, Doubeni Chyke A, Small Dylan S
Department of Statistics, College of Liberal Arts and Sciences, University of Florida.
Center for Health Equity and Community Engagement Research, Mayo Clinic.
Ann Appl Stat. 2020 Jun;14(2):829-849. doi: 10.1214/20-aoas1329. Epub 2020 Jun 29.
As in any observational study, in a case-control study a primary concern is potential unmeasured confounders. Bias, due to unmeasured confounders, can result in a false discovery of an apparent treatment effect when there is none. Replication of an observational study, which tries to provide multiple analyses of the data where the biases affecting each analysis are thought to be different, is one way to strengthen the evidence from an observational study. Evidence factors allow for internal replication by testing a hypothesis using multiple comparisons in a way that the comparisons yield independent evidence and differ in the sources of potential bias. We construct evidence factors in a case-control study in which there are two types of cases, "narrow" cases which are thought to be potentially more affected by the exposure and "marginal" cases which are thought to have more heterogeneous causes. We develop and study an inference procedure for using such evidence factors and apply it to a study of the effect of sigmoidoscopy screening on colorectal cancer.
与任何观察性研究一样,在病例对照研究中,一个主要关注点是潜在的未测量混杂因素。由于未测量混杂因素导致的偏差,可能会在实际上不存在治疗效果时错误地发现明显的治疗效果。观察性研究的重复,即尝试对数据进行多次分析,且认为影响每次分析的偏差不同,是加强观察性研究证据的一种方法。证据因子通过以一种比较产生独立证据且潜在偏差来源不同的方式使用多重比较来检验假设,从而实现内部重复。我们在一个病例对照研究中构建证据因子,该研究中有两种类型的病例,“狭义”病例被认为可能更容易受到暴露影响,“边缘”病例被认为具有更异质性的病因。我们开发并研究了一种使用此类证据因子的推断程序,并将其应用于一项关于乙状结肠镜筛查对结直肠癌影响的研究。