Epidemiol Rev. 2022 Jan 14;43(1):4-18. doi: 10.1093/epirev/mxab008.
In any research study, there is an underlying process that should begin with a clear articulation of the study's goal. The study's goal drives this process; it determines many study features, including the estimand of interest, the analytic approaches that can be used to estimate it, and which coefficients, if any, should be interpreted. Misalignment can occur in this process when analytic approaches and/or interpretations do not match the study's goal; misalignment is potentially more likely to arise when study goals are ambiguously framed. In this study, misalignment in the observational epidemiologic literature was documented and how the framing of study goals contributes to misalignment was explored. The following 2 misalignments were examined: use of an inappropriate variable selection approach for the goal (a "goal-methods" misalignment) and interpretation of coefficients of variables for which causal considerations were not made (e.g., Table 2 Fallacy, a "goal-interpretation" misalignment). A random sample of 100 articles published 2014-2018 in the top 5 general epidemiology journals were reviewed. Most reviewed studies were causal, with either explicitly stated (n = 13; 13%) or associational-framed (n = 71; 69%) aims. Full alignment of goal-methods-interpretations was infrequent (n = 9; 9%), although clearly causal studies (n = 5 of 13; 38%) were more often fully aligned than were seemingly causal ones (n = 3 of 71; 4%). Goal-methods misalignments were common (n = 34 of 103; 33%), but most frequently, methods were insufficiently reported to draw conclusions (n = 47; 46%). Goal-interpretations misalignments occurred in 31% (n = 32) of the studies and occurred less often when the methods were aligned (n = 2; 2%) compared with when the methods were misaligned (n = 13; 13%).
在任何研究中,都有一个潜在的过程,应该从明确阐述研究目标开始。研究目标驱动着这个过程;它决定了许多研究特征,包括感兴趣的估计量、可以用来估计它的分析方法,以及哪些系数(如果有的话)应该被解释。当分析方法和/或解释与研究目标不匹配时,就会出现这种不匹配;当研究目标框架不明确时,这种不匹配更有可能出现。在这项研究中,记录了观察性流行病学文献中的不匹配情况,并探讨了研究目标的框架如何导致不匹配。检查了以下 2 种不匹配:目标的不合适变量选择方法的使用(“目标-方法”不匹配)和未考虑因果关系的变量系数的解释(例如,表 2 谬误,“目标-解释”不匹配)。对 2014 年至 2018 年在顶级 5 种普通流行病学期刊上发表的 100 篇文章进行了随机抽样审查。大多数被审查的研究都是因果性的,要么明确说明(n=13;13%),要么关联框架(n=71;69%)。目标-方法-解释的完全匹配很少见(n=9;9%),尽管显然是因果研究(n=13 中的 5 个;38%)比看似因果研究(n=71 中的 3 个;4%)更常完全匹配。目标-方法不匹配很常见(n=103 中的 34 个;33%),但最常见的是,方法报告不足,无法得出结论(n=47;46%)。目标解释不匹配发生在 31%(n=32)的研究中,当方法匹配时(n=2;2%)比方法不匹配时(n=13;13%)发生的频率更低。