A Novel Application of a Bivariate Regression Model for Binary and Continuous Outcomes to Studies of Fetal Toxicity.

A Novel Application of a Bivariate Regression Model for Binary and Continuous Outcomes to Studies of Fetal Toxicity.
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二元连续结果的二元回归模型在胎儿毒性研究中的新应用。

DOI:
10.1111/j.1467-9876.2009.00667.x
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发表时间:
2009
期刊:
Journal of the Royal Statistical Society. Series C, Applied statistics
影响因子:
--
通讯作者:
Catalano,PaulJ
Catalano,PaulJ
中科院分区:
--
文献类型:
--
作者:
Najita,JulieS;Li,Yi;Catalano,PaulJ

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由于出生前接触药物、化学品和其他环境因素可能导致出生缺陷和发育异常的发生,公共卫生方面的担忧导致了越来越多的发育毒性研究。由于胎仔通常被评估为多个结果,数据分析经常涉及联合建模方法。我们专注于在所有后代中都可能观察到这两种结果的情况下,对成簇的二元和连续结果进行建模,但由于实际限制,连续结果只在子代中观察到。子集不是简单的随机样本,而是由实验者在预先指定的概率模型下选择的。虽然当每个胎儿都有两种结局时,已经建立了二元和连续结局的联合模型,但当在简单的随机样本中没有观察到连续结局时,许多现有的方法并不直接适用。我们采用了一种基于可能性的方法来联合建模集群的二元和连续的结果,当连续响应因设计而缺失时,缺失取决于二元特征。该方法考虑了胎儿在子集中被选中的概率。通过使用部分似然,可以通过对部分似然分数的简单修改来获得有效的估计。对除草剂2,4,5-三氯苯氧基乙酸的数据进行了分析。仿真结果验证了该方法的有效性。
Public health concerns over the occurrence of birth defects and developmental abnormalities that may occur as a result of prenatal exposure to drugs, chemicals and other environmental factors has led to an increasing number of developmental toxicity studies. Because fetal pups are commonly evaluated for multiple outcomes, data analysis frequently involves a joint modelling approach. We focus on modelling clustered binary and continuous outcomes in the setting where both outcomes are potentially observable in all offspring but, owing to practical limitations, the continuous outcome is only observed in a subset of offspring. The subset is not a simple random sample but is selected by the experimenter under a prespecified probability model. Although joint models for binary and continuous outcomes have been developed when both outcomes are available for every fetus, many existing approaches are not directly applicable when the continuous outcome is not observed in a simple random sample. We adapt a likelihood-based approach for jointly modelling clustered binary and continuous outcomes when the continuous response is missing by design and missingness depends on the binary trait. The approach takes into account the probability that a fetus is selected in the subset. Through the use of a partial likelihood, valid estimates can be obtained by a simple modification to the partial likelihood score. Data involving the herbicide 2,4,5-trichlorophenoxyacetic-acid are analysed. Simulation results confirm the approach.
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