Loop Matthew Shane, Frazier-Wood Alexis C, Thomas Amy S, Dhurandhar Emily J, Shikany James M, Gadbury Gary L, Allison David B
Section on Statistical Genetics, Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Front Genet. 2012 Aug 8;3:145. doi: 10.3389/fgene.2012.00145. eCollection 2012.
In many circumstances, individuals do not respond identically to the same treatment. This phenomenon, which is called treatment response heterogeneity (TRH), appears to be present in treatments for many conditions, including obesity. Estimating the total amount of TRH, predicting an individual's response, and identifying the mediators of TRH are of interest to biomedical researchers. Clinical investigators and physicians commonly postulate that some of these mediators could be genetic. Current designs can estimate TRH as a function of specific, measurable observed factors; however, they cannot estimate the total amount of TRH, nor provide reliable estimates of individual persons' responses. We propose a new repeated randomizations design (RRD), which can be conceived as a generalization of the Balaam design, that would allow estimates of that variability and facilitate estimation of the total amount of TRH, prediction of an individual's response, and identification of the mediators of TRH. In a pilot study, we asked 118 subjects entering a weight loss trial for their opinion of the RRD, and they stated a preference for the RRD over the conventional two-arm parallel groups design. Research is needed as to how the RRD will work in practice and its relative statistical properties, and we invite dialog about it.
在许多情况下,个体对相同治疗的反应并不相同。这种被称为治疗反应异质性(TRH)的现象似乎在包括肥胖症在内的多种病症的治疗中都存在。估计TRH的总量、预测个体的反应以及识别TRH的介导因素是生物医学研究人员感兴趣的。临床研究人员和医生通常假定其中一些介导因素可能是基因。目前的设计可以将TRH估计为特定的、可测量的观察因素的函数;然而,它们无法估计TRH的总量,也无法提供个体反应的可靠估计。我们提出了一种新的重复随机化设计(RRD),它可以被视为巴拉姆设计的推广,这种设计将允许对这种变异性进行估计,并有助于估计TRH的总量、预测个体的反应以及识别TRH的介导因素。在一项试点研究中,我们询问了118名参加减肥试验的受试者对RRD的看法,他们表示比起传统的双臂平行组设计,更喜欢RRD。需要研究RRD在实际中如何运作及其相对的统计特性,我们邀请对此进行讨论。