The validity of the Neale and Kendler model-fitting approach in examining the etiology of comorbidity
The validity of the Neale and Kendler model-fitting approach in examining the etiology of comorbidity
复制标题
DOI：
10.1023/b:bege.0000017871.87431.2a
复制
发表时间：
2004-05-01
影响因子：
2.6
通讯作者：
Neale, MC
中科院分区：
文献类型：
--
作者：
Rhee, SH;Hewitt, JK;Neale, MC
鉴于有关疾病间共病的病因学知识可以对关于疾病的分类、治疗和病因学的研究产生重大影响，拒绝关于共病原因的错误假设的能力是非常重要的。进行了一项模拟研究，以评估Neale和Kendler(1995)模型拟合方法在检查两种疾病之间共病的病因学方面的有效性。首先，在Neale和Kendler描述的13种可选的共病模型的假设下对数据进行模拟。其次，在模拟数据集上对共病模型进行了模型拟合分析。我们模拟了13组具有不同模型参数的数据，以检验Neale和Kendler的断言，即他们的模型拟合方法在一系列潜在的流行程度和熟悉程度上是合适的。探讨了模型拟合法在检验未选择的双胞胎数据以及已选择的家庭数据和未选择的家庭数据组合中的有效性。模型拟合方法成功地区分了几类共病模型，尽管在相关模型类内的模型之间的区分不那么准确。结果表明，如果仔细考虑本研究结果的警告，模型拟合方法可以成为检查疾病之间共病的病因的有用工具。正如Neale和Kendler预测的那样，疾病患病率和家族相关性的变化并不影响他们模型拟合方法的有效性，但影响了区分正确模型的能力。正如Neale和Kendler所建议的，模型拟合方法既可以应用于未选择的数据，也可以应用于选择的数据，也可以应用于双胞胎和家庭数据。
Given that knowledge regarding the etiology of comorbidity between disorders can have a significant impact on research regarding the classification, treatment, and etiology of the disorders, the ability to reject incorrect hypotheses regarding the causes of comorbidity is very important. A simulation study was conducted to assess the validity of the Neale and Kendler ( 1995) model-fitting approach in examining the etiology of comorbidity between two disorders. First, data were simulated under the assumptions of the 13 alternative comorbidity models described by Neale and Kendler. Second, model-fitting analyses testing the comorbidity models were conducted on the simulated datasets. Thirteen sets of data with varying model parameters were simulated to test Neale and Kendler's assertion that their model-fitting approach is appropriate across a range of potential prevalences and degrees of familiality. The validity of the model-fitting approach in examining unselected twin data and a combination of selected family data and unselected family data was explored. The model-fitting approach successfully discriminated several classes of comorbidity models, although discrimination between models within classes of related models was less accurate. Results suggest that the model-fitting approach can be a useful tool in examining the etiology of the comorbidity between disorders if the caveats of the present study's results are considered carefully. As predicted by Neale and Kendler, variations in the disorder prevalences and familial correlations did not affect the validity of their model-fitting approach, but affected the power to discriminate the correct model. As suggested by Neale and Kendler, the model-fitting approach can be applied to both unselected and selected data and to both twin and family data.