Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Dose Response. 2008;6(4):352-68. doi: 10.2203/dose-response.08-007.Hunt. Epub 2008 Oct 16.
Developmental toxicity studies are an important area in the field of toxicology. Endpoints measured on fetuses include weight and indicators of death and malformation. Binary indicator measures are typically summed over the litter and a discrete distribution is assumed to model the number of adversely affected fetuses. Additionally, there is noticeable variation in the litter responses within dose groups that should be taken into account when modeling. Finally, the dose-response pattern in these studies exhibits a threshold effect. The threshold dose-response model is the default model for non-carcinogenic risk assessment, according to the USEPA, and is encouraged by the agency for the use in the risk assessment process. Two statistical models are proposed to estimate dose-response pattern of data from the developmental toxicity study: the threshold model and the spline model. The models were applied to two data sets. The advantages and disadvantages of these models, potential other models, and future research possibilities will be summarized.
发育毒性研究是毒理学领域的一个重要领域。在胎儿身上测量的终点包括体重和死亡及畸形的指标。二项指标测量通常在窝中进行求和,并假设离散分布模型来模拟受不利影响的胎儿数量。此外,在剂量组内,窝反应存在明显的变异性,在建模时应考虑到这一点。最后,这些研究中的剂量-反应模式表现出阈值效应。根据美国环保署的规定,阈值剂量-反应模型是用于非致癌风险评估的默认模型,并鼓励在风险评估过程中使用该模型。本文提出了两种统计模型来估计发育毒性研究数据的剂量-反应模式:阈值模型和样条模型。这两种模型被应用于两个数据集。将总结这些模型的优缺点、潜在的其他模型以及未来的研究可能性。