Commenges D, Letenneur L, Jacqmin H, Moreau T, Dartigues J F
INSERM U.330, Université de Bordeaux II, France.
Biometrics. 1994 Sep;50(3):613-20.
Apparent heterogeneity of the risk of a disease in different groups may be explained by subject-specific risk factors unequally distributed in these groups. We propose a score test of homogeneity that allows adjustment for known risk factors of the disease. The test is based on a random-effect logistic regression model and requires only simple computations in addition to a conventional logistic regression method. The score test is applied to the study of geographical heterogeneity of cognitive impairment in elderly using a sample of 3,318 subjects scattered in 75 parishes. It is shown that an apparent heterogeneity disappears when taking into account subject-specific risk factors. This test may also be useful for studying familial aggregation of a disease.
疾病在不同群体中的风险存在明显异质性，这可能是由特定个体的风险因素在这些群体中分布不均所致。我们提出了一种同质性得分检验方法，该方法允许对已知的疾病风险因素进行调整。该检验基于随机效应逻辑回归模型，除了传统的逻辑回归方法外，只需要简单的计算。我们将该得分检验应用于一项针对老年认知障碍地理异质性的研究，该研究样本包括3318名分布在75个教区的受试者。结果表明，当考虑特定个体的风险因素时，明显的异质性消失了。该检验对于研究疾病的家族聚集性也可能有用。
